Method and system for helping user in carrying out medical procedures composed of several actions on his/her own

FIELD: medicine; medical engineering.

SUBSTANCE: method involves collecting information and storing it in single database or several databases representing parameter values of significance to enable one to carry out the procedures on his/her own, and operations for processing the mentioned single database or several databases to show alternative variants for making selection among two or more actions and values corresponding to each of two or more actions. Device has means for making calculations, required for implementing the method, and computer system and machine-readable carrier having program written on it and capable of implementing the method corresponding to the invention, on computer.

EFFECT: wider range of means accessible to end user.

69 cl, 8 dwg, 1 tbl

 

This invention relates to a method of assisting a user in conducting medical procedures, and these procedures consist of several actions.

The invention also relates to a system/device to assist users in conducting medical procedures, and these procedures consist of several actions.

In this case, consider that the user or patient is a patient suffering from diabetes.

For several years, you can buy various devices for the treatment of diabetes, for example insulin injections, glucose in the blood (such devices are called glucometers), for sampling blood, and other devices that allow the patient to self-service their needs associated with the disease, at a high level of security.

Many diabetes patients - elderly people who can easily feel insecure when using medical equipment. Very encouraging and, therefore, it is important for the users to obtain feedback from the system confirming that everything is OK from the technical functioning of the system to the physiological condition of the patient. This increases the level of psychological security of the patient, which contributes to improving the quality of life of patients who have such disorders, as diabetes.

Traditionally, people with diabetes, living with a strict set of rules of the type “do”, “don't do it.” Historically the need for compliance with therapeutic regime. The purpose of this was to achieve well-controlled glucose levels in the blood (UGC) and, due to this, a significant reduction in the risk of complications. Such a situation is highly undesirable from the point of view of “quality of life”. It often leads to bad mood, which is known that it leads to poor regulation of UGC. Thus was formed a vicious circle that is hard to break a patient with diabetes.

In addition, in some societies and cultures, there is resistance to the use of syringes and needles for injecting drugs, and why people choose alternative ways in order to withstand the prescribed mode. However, this often leads to the fact that people are likely to choose an alternative path, not fully corresponding to the optimal mode, and thereby choose the wrong alternative with a negative effect.

Further metabolism is a very complex and dynamic system. It is very difficult to retrieve and update comprehensive information about diabetic because they play the role of numerous factors. It is highly likely that a diabetic will not receive a comprehensive assessment, or will be based on too simplistic PR the forks of conduct or periodically to ignore the bad feeling.

In past years it has offered a variety of systems in an attempt to alleviate the difficulties associated with diabetes. Such systems basically perform the function of recording and just register any input that you provide. In such systems, data about food and physical exercise are usually imposed on the initiative of the user. Systems that are based on the responsibility of the user to perform a range of activities, it is difficult to make work well, because the user is reluctant to interact with them.

The patent application WO 95/32480 disclose medical information system to generate a report that includes the device - sensor patient - controlled via a user interface of a patient using a microcontroller, which writes data in the memory device and the device for generating reports. It also describes the algorithm alerts with boundary values zone set by the user with the consent of the doctor. This system simply registers any input entered by the user.

The patent application WO 94/24929 reveals a system of support and monitoring of the patient, which has a database located in a remote location, designed to collect in the remote database information from sensors and input systems of medicines. This system also records the information, wodim the user, and initiates the response of physicians on the basis of the received parameters.

The objective of the invention is to offer a way to give the patient freedom of action in relation to self-care.

This is achieved by providing the user with guidance in terms of self-care in the form of presenting the options or opportunities so that compliance can be achieved in different ways.

More invention relates to a method for assisting the user in conducting medical procedures, and these procedures consist of several actions, and the method includes the steps of collecting in one or more databases of information representing the values of the parameters related to the specified conduct independent medical procedures, and in one or more databases of information representing the values of the parameters related to processing of one or more databases to provide alternative choices between two or more actions and corresponding values for each of the actions.

Thus, the process of self-care user changes from limits to possibilities, thus improving the overall quality of life of the user and Gara is tirua, what self-care fully complied with the prescribed regime. This eliminates the user selects the action, and alternatives that do not fully or not at all correspond to the optimal mode due to the lack of a clear comprehensive assessment of the complex factors associated with care yourself.

Due to the fact that the user is offered a number of options he can choose what he like, and to obtain correct and complete treatment instead of arbitrarily choose the easiest and most enjoyable course of action, which may be incorrect or insufficient and lead to negative consequences.

In addition, the selectable options corresponding to the prescribed mode, allows the user to feel control over the treatment process and improves the patient's ability to adapt to the treatment in everyday life.

In addition, lost the feeling that the patient is seriously ill, so he receives a set of choices rather than dictate procedures.

Another object of the invention is the evaluation of one or more future values of one of the specified parameters for information about the status of the user in the near future, thereby improving the possibilities of providing better, more appropriate choices.

One way of assessing one or more future values can be estimated on the basis of the dynamic model, representing the human metabolism.

Another object of the invention is the provision of an efficient monitoring of electronic information used by the patient to conduct independent medical procedures in order to achieve a higher level of security both functional and emotional, and effective feedback to the patient.

The invention also relates to computer systems having means for executing programs, where the program when executed, provides an implementation of the computer method according to claims 1 to 19 claims.

Under the system we mean a system containing means for processing and programmable from time to time for execution of the set statement or a command such as the system for independent medical procedures, for example, composed of one or more sensors, devices for administration of drugs, data acquisition and display devices, or conventional computing system, such as a personal computer, a laptop computer, a miniature computer, or system containing at least one unit containing a microcontroller, designed for program execution (constant or variable), and so on.

The invention also relates to machine readable media on which is s recorded program, which when executed implements on a computer, the method corresponding to claims 1 to 19 claims.

Machine-readable media may be, for example, CD-ROM, magnetic disk, the circuit ROM, network connection, or any environment that can provide the computing system with information about how to follow the instructions or commands.

The above system and method need the highest quality possible data collection procedures to provide relevant and useful suggestions on the choice of the user. In a preferred implementation of the invention using the system and method, which is specific to an individual device, equipped with electronic communication equipment, so that the device is in state two-way communication often share information with each other. Thus, it is possible to achieve improved functional safety, to increase the total information capacity of the system, to improve opportunities for feedback, for example, in the form of a verification system for all devices and reports that all devices are working properly and configured correctly, as well as in the form of providing the patient a choice of several timely possible options for the current situation.

Individual devices can be designed to perform different respective fu is of capabilities, important to ensure, for example, diabetes, such as: Lancet device, the analyzer body fluids, one or more devices for administration of a given dose of medication to the patient. In addition, there may be several other AIDS used by patients-diabetics, for example, test strips for blood analyzer, needles, alcohol pads to wipe the blood, a spare cartridge of insulin, glucose tablets, waste containers, and the like.

The device in accordance with example can convey information such as: the amount of medication, type of medication, the concentration of important substances in the body, for example, the level/concentration of fluid in the body, timestamp, amount of food (for example, the number of units of carbohydrates, the measure of physical activity notifications (for example, alarms and warnings) to the patient, characteristics of the body (weight, blood pressure, and the like) and information about the movement of materials included in the inventory list. This ensures that important information, for example, system administration of medication, such as a dispenser, i.e. the number of units of insulin type of insulin, the date and time will automatically be saved in memory, display, receive and impart other relevant devices and, specifically, in one or more databases accessed by the system/method of processing for obtaining results, described above and below. The dispenser may also receive information regarding a given number of units of insulin, be inserted, and automatically set the number of drugs subject to introduction, Electromechanical means. Thus, older people and people with disabilities will not have to set the correct amount of medication on their own, and only activate the dispenser and may confirm really put the dose will be able to use next.

Instead of dosing or in conjunction with it can be included in the system other types of devices for administration of medication such as an inhaler, designed for dose medications in the air flow, or dispenser for tablets. The inhaler and/or dispensing device for tablets can also communicate with other blocks to exchange relevant data, as the dispenser in accordance with this invention.

Especially useful to transfer data from all devices in functional leading module or device containing the program with the highest priority to ensure the safety, calibration and updating data, and possible transmission to, for example, to an external unit, such as a personal computer or database for subsequent data sampling, storage and processing. Therefore clicks the zoom, the patient, doctor or treatment team can obtain information about patient behavior in the dynamics and to check for compliance with prescribed by your doctor or healthcare team to diet or regimen. This improves the possibility of providing choice in accordance with the invention.

In addition, there is an opportunity for the patient to enter treatment information manually. This information can be anamnesis data, and data about the future pattern of behaviour, for example, about the planned exercise, insulin, meal or other drugs. These data can accumulate and, therefore, to provide an electronic diary of a diabetic, and can use them to notify the patient by means of taking on dangerous whether the proposed action. The patient may also receive the recommended number of medications, stress, food and so on from your doctor or healthcare team or automatically. All this information can be used to estimate one or more parameters in the future, for example, CDD.

It is obvious that as the device moves the patient himself, there is the potential lack of space for proper input devices such as keyboards. Therefore, information that cannot be entered in a standardized form, such as personal notes about treatment, the patient mo what should be entered into the device using simplified input devices once and then choose from the list if you'll need it again.

Preferably, all of the devices included in the system to exchange information so that each device (or, at least, every device within range) receive updates all information, but the channel of communication with external systems had only one device, so that each bit of information backup copy for better security and reliability. This requires a high amount of shared memory system.

For glucometer in accordance with a variant implementation of the invention, relevant information can be time and date of measurement, the measured level/concentration of glucose in the blood, which can save or transfer to another device.

For a dispenser in accordance with a variant implementation of the invention, information can be the type of medication (e.g. insulin, long or short acting), the number of units of insulin, be inserted, and the date and time of introduction. This information can either be set manually by the efforts of the patient, or remotely by a doctor or healthcare team or automatically.

For inhaler in accordance with a variant implementation of the invention, information can be the type of medication, amount of medication, be inserted and the date and time at which edenia. This information can either be set manually by the efforts of the patient, or remotely by a doctor or healthcare team or automatically.

For container stacking according to a variant implementation of the invention may use relevant information to register the contents of the container, so that whenever applied subject (e.g., cartridge, needle and so on), container-stacking will update the inventory list. This list can be passed to the block with the highest priority immediately or at a later date, which, in turn, will update the total list belonging to the patient objects, so that the system can notify the patient about the need to buy a new stock items. The order can also be achieved automatically by the system, if the inventory list is passed to the external device, which significantly increases the confidence, comfort and patient safety.

For dispensers tablets in accordance with a variant implementation of the invention, information can be the number of issued tablets, the number of remaining tablets, the time distribution and type of issued tablets. The dispensing device may store and/or transmit this information available to the unit with the highest priority or other blocks within the range of communication.

The following describes in detail prefer the capacity embodiment of the present invention. This particular embodiment is just an example and should not be construed as limiting the scope of protection claimed in the attached claims.

The term “Generator options used in the following description to refer to the method and system according to this invention.

The following is a detailed description of the invention with reference to the drawings, in which:

Figure 1 depicts the scheme of the algorithm of embodiments of the invention, illustrating an example implementation of a system Generator options;

Figa, 2b and 2C depict examples of user interfaces that represent options and receiving the user selection;

Figure 3 depicts a block diagram of an exemplary expert system based on the model;

Figure 4 depicts a more detailed view gramasevaka dynamic model of the patient corresponding to the invention;

Figure 5 is an example of the preferred system, which may include the implementation of the present invention;

6 is another embodiment of the invention;

Fig.7 shows the General concept according to a variant implementation of the invention in relation to data exchange;

Fig shows the data exchange between the system devices and the Central system.

Figure 1 depicts the scheme of the algorithm of embodiments of the invention, illustrating the example of the river is ment system Generator options.

In step 101 provide or update the input data. Different types of input data update, as shown in steps 102-105.

In step 102 provide or update data from the healthcare team. This information describes the individual characteristics of the user (patient), which is valid for the time between consultations with the healthcare team. Data are typically obtained as a result of tests made by health care professionals (e.g., insulin sensitivity) and is introduced into the system by the forces of the healthcare team, such as wirelessly using a mobile telephone system as described for Fig.

In step 103 provide treatment data from various devices, for example from a system of portable devices described above in connection and lower for 5-7

In step 103 can also enter data manually by the user. Data, specified manually, may constitute, for example, the body temperature of the user, for example, if his fever. It is preferable to manually enter the data, which differ from the normal values.

These data describe actually received by patient treatment (for example, insulin as a function of time) and the net effect (for example, the level of glucose in the blood as a function of time). These data are collected by various devices used the mi patient in the home treatment and automatically communicate with the Generator options.

In step 104 provide or update the previous choices, i.e. the data received from the user.

It is a record of previous actions that the user has chosen to undertake, and which are either not yet confirmed by other input means (e.g., injection of insulin until synchronization between the dosing of insulin and Generator options) or not can be confirmed by other input means (e.g., exercise, or eating).

In step 105, the system timer provides the time information in the form of a timestamp. In addition, you can specify the date.

For this method it is important to consider time as an alternative proposals for a user change over time.

Information provided to or updated on the steps 102-105, collect in a database in the form of a set of data in step 106.

Before processing the input data, the system performs the test at step 107 to determine whether the quantity and/or quality of input information in order to develop a correct and relevant proposals on the user behavior, in order to present them to the user using the system Generator options.

If the test gives a negative result, i.e. the input data is insufficient to produce relevant output, the user informs Otomi fact, the Generator options not currently able to offer recommendations due to the lack of input data, and prompt you to enter more detailed data, and produce a warning signal in step 108.

If the test gives a positive result, the method continues to apply in step 109, which has been introduced or provided to process data using an expert system, for example, by using the model.

Expert system is a General model of the control loop for the level of glucose in human blood. On the basis of the data entered and accumulated history in Generator options, the model is designed to simulate and predict the regulation of blood glucose separate user system Generator options. Cm. 3,4 for a more detailed description of the expert system.

For each of the n possible user actions implemented in the Generator system options in the model enter information about the current level of glucose in the blood, the desired level of glucose in the blood, the current time, n-1 user actions established in the current value (other equal conditions), and one user action is considered as a variable value. After performing n allocations of the control loop, one for each of the n possible user actions, considered as AC is the authorized value, the expert system generates the n possible ways to bring the current level of glucose in the blood to the desired value. After this required the estimation of n alternative proposals to exclude proposals that cannot be implemented (for example, it is impossible to eat a negative amount of food)to produce “at least n” correct and implemented proposals of possible choices 110.

In General, the sooner choose (i.e. act on the situation, the more options available to the user. In other words, as the time expires, the number of proposals or options all decreases and they become more and more restrictive, as the user state is becoming more serious, i.e. deviates from the normal CDD, if not pay attention or don't react.

Another criterion for the exclusion of individual proposals may be, for example, in the system described above, containing various portable devices, the criterion may be whether the user has a separate device that implements the proposal under consideration and its activated condition. Thus, the user will provide only those proposals that it really can perform.

Finally, time is also considered as a variable in the expert si is the subject - ceteris paribus to test, will there be a potentially dangerous situation within a specified time interval. If you find such a case, in step 111 set a flag warnings.

In step 112 checks whether the flag warnings. If the test showed that flag warning is selected, the user sends a warning signal in step 113, regardless of whether at the moment the user with the system, for example, this may be an audible signal to attract the attention of the user and/or enable display appropriate information. After signal implementation of the described method continues at step 115, where are the warnings and suggestions, as will be described below.

If the test at step 112 shows an error or not, then in step 114 produce another check whether the user has access to the system. If not, the implementation of the described method is still in an initial step 101 and expect new and/or updated input data, because the current situation does not require special attention (flag warning is not installed).

If the test at step 114 showed the true value, and the user has access or intensified your system, perform step 115.

In step 115, the user are correct and re the education programmes implemented suggestions. Also display alerts the user if the previous step was a step 113 to signal the user about the necessity of immediate action. The alert may, for example, include information about what the user should seek medical help or to enter medicine as soon as possible.

Proposals might, for example, be represented in the form depicted in Figa, 2b and 2C, or any other suitable form.

In step 116, the system waits until the user chooses one of the proposed action or timeout system.

Any of the proposals presented to the user Generator options will lead his/her level of glucose in the blood to normal, but it is not excluded the possibility that the user decides to only partially comply with the suggested behavior, for example, would introduce half the dose instead of the dose, which he proposed, or combine several proposals to partially or completely. When the user enters their choice, Generator options recalculates the algorithm to update relevant in the new situation. The example sentences and the selected options are shown in Figa.

If the user decides to do nothing, the system will periodically assign a timeout and to recalculate the algorithm to update important is redlozhenie counting the elapsed time since the last user action.

Thus, the user present several options to choose from, each of which corresponds to a mode, and the user can choose the options that he like more, and get proper treatment instead elect the easiest and most attractive option for the conduct yourself, that may be incorrect or insufficient, and lead to undesirable consequences.

In addition, the choice gives the patient the opportunity to feel control over the treatment process and increases therapeutic value of treatments and improves the patient's ability to adapt to the treatment process in everyday life.

On Figa, 2b and 2C show examples of a user interface presenting options and perceiving the user's choice.

On Figa shows an example user interface in which the column 201 contains a variety of graphical icons 205-210, each of which represents an option in accordance with the proposal. In this example, the displayed icons 205-210 for introduction 205-acting insulin, injection 206 prolonged insulin action, introduction 207 tablets of a certain type, run, 208 exercises, receiving, 209 food and receive 210 alcohol. In addition, there may be present other pict is grams, for example, the introduction of tablets of another type, dose medication using a nebulizer, and the like, if these options are available to the user.

In column 202 shows n sentences produced by a Generator options (corresponding to step 115 Figure 1), each proposed action, if it will, will the current STU to the desired UGC. In this example, the Generator options offered to the user/patient or enter 10 units (IU) of fast-acting insulin, or enter 0 IU of insulin long-term action, or to take two tablets of this type, or to exercise 60 minutes, or take 0 units of food or drink 0 units of alcohol.

In column 203 show user input. After the user enters their choice and the number of selected actions, Generator options will display and calculate the updated proposals on the basis of the changed situation. Here the user has chosen to enter 5 IU-acting insulin, and now the Generator options is updated proposals in column 202', taking into account the new situation and taking into account the user's choice.

The updated proposals in column 202' are now to enter additional 5 IU-acting insulin, or enter 0 IU of insulin long actually is, or you can take one tablet of this type, or to exercise 30 minutes or accept 0 units of food or drink 0 units of alcohol.

Now the user decides to exercise exercise 30 minutes that displays in the column 203', and the model updates the proposals accordingly. Proposals shown in column 202", reflect the fact that after the user has performed the above steps, its UGC should be at the desired level.

Columns 204 represent the previous and subsequent sentences and user-entered data, so you can scroll through the values, corresponding to different moments in time.

This special form of user interface requires a display device of a certain level of quality or resolution. Can provide other, simpler forms, for example, as shown in Figs, either instead of or together with devices with displays smaller.

Alternatively, the display will show only one column of icons 201, 202 and proposals of the input information from the user 203 at every moment of time, for example, allowing you to scroll through the previous suggestions and information from the user using buttons.

The user can enter information in various ways in accordance with the contract is to maintain variant implementation of the invention, known in the art, for example using a touch screen with a stylus pen, touch screen or cursor on the display or the like.

Obviously, if the device moves the patient himself, there is the potential lack of space for the perfect input device, such as a keyboard. Therefore, information that cannot be entered in a standardized form, for example, personal notes about treatment, once injected into the device by the patient using simplified input device, and can then choose from the list of available again when you need it.

Preferably, in connection with Generator options did you use with many portable devices, equipped with means of mutual exchange of data, as described above.

Then, for example, the dispenser will be able to transfer data on the introduced dose device, comprising a Generator options, automatically or upon request from a user, and other devices can transmit measured values representing physiological parameters, automatically or upon user request, for example, blood glucose meter can transmit data about the measured UGC as input values for the Generator options.

In addition, information about what devices are available and activated, can pass into the device vkluchaya the Generator options who will then be able to submit proposals only relate to present and/or activated devices, so that, for example, if the dispenser containing the prolonged insulin action, not available to the user, the icon 206 and a proposal will not be displayed.

On Fig.2b shows an example user interface in which the Generator options provided input data necessary for the development of proposals. Shows the column 220, containing icons 224, representing the values obtained from the glucometer, and 225, representing the value of the body temperature of the user. The corresponding values specified in the given time, are listed in column 221, and in this example, equal to 10.5 mmol/l and 37.5°s, respectively. Other columns 222 represent the values specified in other points in time, but in this example, these values are not indicated. Alternatively, the user interface displays the columns in which the specified value is accompanied by a timestamp.

Column 223 represents the previous and subsequent values entered by the user, so you can scroll values for different points in time.

This information Generator options used together with additional data to better assess the desired level of glucose and receive the diamonds measure the current glucose level. Enter the temperature used in the expert system to determine whether the heat of the patient, as this affects the selection of doses of insulin.

This information can either be entered manually by the user or automatically, or both ways, for example by glucometer and/or temperature sensor, equipped with means of communication that can transmit data to the device Generator options (which corresponds to step 103 in figure 1).

Figs depicts an example of another user interface that may be better suited for screens smaller. Shows an example of a graph 230 that has a time axis 231 and three columns 232 and 232' UGC obtained in three different time of day. Two previously obtained CDD 232 232 and one’, obtained in the present. UGC can get from the glucometer, either manually or automatically, for use by Generator options as input for the expert system, as described above.

Also shows the two column 233, representing the dose of insulin, which the user decided to enter earlier, after receiving UGC 232, respectively. Dose 233 could match or be part of the proposed Generator options at the appropriate time. Alternatively, the user can enter dose 233 entirely on their own, and only specify the dose and t is medication. Valid values are entered doses 233 could be specified along with the data on the time and type of insulin) by user input or data from the dispenser, making the introduction of drugs to the device, including the Generator options.

Previously obtained CDD 232 and the administered dose 233 together with UGC 232', obtained in the present and other relevant input data, as described for Figure 1, is used to predict future changes UGC intended for the correction of future change UGC.

In this example, the Generator options suggested that the user has entered the dose indicated by the flashing column 233'. Additionally, others may pass automatically to the appropriate dispenser, so that if the user wants to follow the suggestion, it will only need to activate the button of the dispenser, in order to take the proposed dose. Alternatively, the user can manually specify the proposed dose of the dispenser.

In addition, the user may choose to enter only a part of the proposed dose (which can also automatically send after you specify a user if, for example, wants to exercise. After the generator options will register the user's selection to enter only a part of the proposed dose, expert system, respectively, update and which are square-new proposals on the basis of the new situation.

The user interfaces described for Figa, 2b and 2C are only examples, and can offer other suitable types of interface. Alternatively, the user interface may be a text and not to use graphics that will reduce the complexity of a system in terms of practical implementation.

Figure 3 shows a block diagram of an example of an expert system using simulation.

Proposed several models to describe the metabolism of insulin-dependent patients-diabetics. In addition, efforts to construct a system level control of blood glucose using insulin.

Below is described one expert system as an example, but similar results can be applied to other well-known expert system. Presents expert system contains input variables 301 and 302, physiological parameters and input data 306 model, generators 305 proposals, steps 304 of the patient and the model 303 patient described below.

Input variable 301 desired level of glucose in the blood is introduced into the expert system, and preferably it specifies the healing team or other professionals. The value of the variable 301 may be equal to the level of glucose in the blood of a healthy person, but may differ in accordance with the regime, for example, to be higher to prevent Hypo is likeliy.

The second input variable used by the expert system, is a variable 302 “measured value of the glucose in the blood, representing the UGC at this point in time.

The patient can measure UGC asking variable 302 values of glucose in blood, with a certain frequency or to use the sensor blood glucose continuous action. Taking into account the dynamics of human metabolism there is a certain lower threshold frequency samples, which allow the expert system to work correctly.

Model 303 patient is a dynamic model describing the metabolism of the patient is diabetic. Model 303 includes parameters 306, such as the weight of the patient and insulin sensitivity, which are variable for different patients, and can be considered as constants in between consultations with specialists of the healthcare team. Model 303 may also include inputs to the model, such as injections of insulin long-acting, fast-acting insulin, oral diabetic agents, exercise, meals, alcohol, fever. Having a certain combination of input data 306, model 303 describes the level of glucose in the blood over time. Model 303 describes some of the key state variables of human metabolism.

Generators 305 proposals are analogues of d is of Ostrov in control systems. The input value for generators 305 proposals is the difference between the desired level 301 of glucose in the blood and the actual level 302 of glucose in the blood, as well as the state variables of the model patient. When this input value, each of the generator 305 generates proposals for action of the patient and the relevant amounts or dosages to eat a certain amount of food, exercise a certain time, to produce an injection of a dose of fast-acting insulin and so on, as indicated in blocks 305 proposals. Proposals rely on the assumption that only one proposal will be accepted by the user.

The patient has the final decision, as indicated by step 304 of the patient, for each possible action in an expert system. He can decide to do or not to do one of the proposals fully or partially, and its action 304 is introduced into the model of the patient, either manually or automatically using a special diabetic devices - dosing or glucometer. Model 303 patient then generates a new input value generator 305 sentences corresponding to the situation.

Figure 4 shows a more gramasevaka model of the patient in accordance with the invention. This model is used in an expert system for received what I predictions or estimates of future UGC.

The literature describes a large number of such models. Here, for explanation of the principles used a very simple model proposed by the applicant. This model can be developed to achieve a high degree of detail, if required.

Model 400 simulates the dynamics of carbohydrate metabolism. On the basis of one or more of the following input parameters:

- UGC

- the dose of a medicine,

- type of medicines

- meal,

- welcome drinks,

- exercise - timestamp

- sensitivity to insulin,

the body weight of the user

- blood pressure,

- temperature,

- and so on.

The model is set up on the exact imitation of the carbohydrate metabolism of the user. Constant adjustment input updated data from the expert system to prevent deviation from an exact match to the future state. The structure of the model 400 responds to the functions of metabolism sufficiently. Thanks to this correspondence, the expert system/model 400 is able to predict trends or even future values of the UGC.

Expert system continuously provides suggestions concerning the freedom of action of the user. Based on all registered events, offer options associated with physical exercise or food intake.

If the proposals are (for example, prices is used for the indicator on the touch screen of a handheld computer), it is considered the input to the algorithm, and use in future proposals.

Preferably, the dialogue is implemented with a graphical display of the background, and the introduction was carried out by either using the touch screen or traditional buttons.

For the expert system developed recommendations and options, as described above, it is necessary to predict what will happen from now known state.

This can be done using the model 400 carbohydrate metabolism as the basis of the concept Generator options.

The Figure shows the model 400 with two tanks: Glucose 402 in the blood of the body (GKO) and insulin 401 (And). Everyone has a source 403 and 403' and the drain 404 and 404' (i.e. two speeds), respectively. Glucose 402 in the blood of the body has a source 403 filling PG (production of glucose) and the drain 404 IG (using glucose)and insulin 401 has a source 403' PI (production of insulin and the flow of AI (using insulin), with all speed, 403, 403', 404, 404' can vary in time depending on the parameters that control the speed.

The parameters that control the speed, for example, food, dose, exercises and the like, are given in the table below.

The model 400 can also be expressed by a set of differential equations for the States 402 and 401, and each control what is their respective speeds 403, 404 status for Glucose 402 in the blood of the body and 403' and 404' for the state of Insulin 401. In this form can be implemented using a microprocessor is relatively easy, and display the results of the subsequent input data for any given point in time.

The differential equation for the model 400 can be expressed as:

BBG(t)=BBG(t-dt)+(POG-UOG)*dt

FLOWS: RUS=f(F, t)

FOLLOWS: UOG=g(BM+KD+IIUOG+E t)

I(t)=I(t-dt)+(POI-UOI)*dt

FLOWS: POI==h(MPI, t)

FOLLOWS UOI=j(HL,t)

The model 400 is only one relatively simple example of a model that can be used to predict UGC in the future.

Alternatively, the model and expert system or parts thereof can be in a fixed block with high computing power, and to receive input and transmit information regarding the proposed options.

Figure 5 - example of a system that may include the implementation of the present invention.

Shows the dispenser 20 with the cap 10, the cap 10 in this implementation performs the functions of the functional master module. In a preferred implementation Generator options located in the functional master module. Functional the master module 10 has the display means 11 and the button 36 to control and select from the proposed matches.

The dispenser 20 is conventional dispenser embodying 12 transmit and receive. This allows the dispenser 20 to transmit data from the memory block, i.e. date, time, number and type of medications, functional leading module 10 for storing and presenting through the 12 receiving the functional master module. In addition, the transferred data can be entered into the Generator options automatically, which leads to the update modules and obtaining and presenting it to the user on the display 11 new proposals or options, reflecting the updated situation.

The dispenser 20 may also receive information through the 12 receiving from the host module 10. This information, for example, may be a specific amount of medication, the proposed Generator options in case the user decides to enter the full amount of medication that is specified by the Generator options. The obtained information is then used to automatically install the correct dosage of medicine for the introduction, so that the patient will not need to worry about it. Alternatively, if the user wants to enter only the part of the proposed dose, he will be able to specify this buttons 36 or directly to the dispenser 20, and then information on the introduced dose will be passed to the Generator options as input to update the model.

In addition, painted blood glucose meter 30, because means 34 for insertion of the test strips 52, contains a sample of blood for analysis glucometer 30 under control buttons 36. The result of the analysis and retain or display on the display 32, or send in the master module 10 through the 12 transfer to store and input into the Generator options, and views on a larger display 11 or both. The patient may at the same time to get the last few results for some period of time.

The container 50 for the test strips is designed to store test strips 52 in volume 55 may be attached by means of a latch 31. With this addition, the test strip 52 will always be at hand.

Shows even the Lancet device 40 Rethimno attached to the glucometer 30 or the container 50 test strips with locking means 31. This Lancet device 40 is used as follows: first set the Lancet device in the handle 44, and then press the button 42, releasing the Lancet, which pierced through the skin to obtain a blood sample. In this configuration the Lancet device is always at hand. The advantage is that the Lancet device 40 is always available to take blood samples and applying it to the test strip 52. The test strip 52 can then be inserted through the 34 blood glucose meter 30, which will begin to analyze the blood sample, and upon completion of the analysis will show achiev that on the display 32. Very useful to have a blood glucose meter 30 and the Lancet device 40 are tied together in one compact unit, as glucometer 30 usually do not use without Lancet device 40.

Thus, information which is relevant for Generator options and individual devices 20, 30 can automatically receive and transmit between functional leading module 10 and the various devices 20, 30, which guarantees automatic updating of information in the system.

Alternatively, the Generator option is only to present choices to the user when there is an active device to perform certain choices, for example, the proposal to introduce a certain amount of insulin long steps are only if you have a dispenser in which there is a prolonged insulin action, or have a dispenser and a separate cartridge of insulin long-term action. Functional lead module is responsible for the registration of individual devices, which ones are present and activated.

If the device, including the master module and/or the Generator of the options available, the system can assign a new leading module and a new generator options either by transfer, and/or activation of the relevant information in the designated device (s).

Figure 6 shows another variant real is the form of the invention. Shows two dispenser 610. Dispensers 610 can contain different types of insulin (fast and cause a slow). He also depicted the device 600 to display 602 and the control buttons 601. In this particular implementation, the device 600 is both functional leading module and Generator options. The device 600 also provided functions glucometer and socket 603 for the introduction of test strips with the blood samples.

Dispensers 610 and functions of the glucometer can, together with the data entered by the user, for example in the device 600, to provide Generator options relevant input data for the model and/or the expert system, so that the Generator variants may represent the received options to choose from on the display 602.

Figure 7 shows a General concept according to a variant implementation of the invention in relation to communication and data exchange. Here the system consists of portable units: functional master module, pump, glucometer, nebulizer and remote units: Remote receiver, Doctor or healthcare team and the Stationary unit and the communication between them.

Functional the master module manages information and data exchange between itself and other devices, and collects relevant data from all other portable units, and uses these data to update the mod is I. These data can be, for example, the amount of medication, type of medication, the concentration in the body fluids, the time stamp (date and time), and information about the movements made in the inventory list. In addition, the patient can enter information regarding the amount of food, as physical activity by the method described above.

These data can then be transferred via a communications interface (which can be embedded in the master module) to an external units, such as a database to collect patient data over a period of time or the computer used by the patient for reception of treatment information. Alternatively, all devices can communicate with each other.

Access to information in the database can have a doctor or treatment team that can quickly and easily check for compliance, for example, a diet or a course of treatment. The physician or treatment team can send notifications (for example, the alarm, warning, or mode change) to the patient, if the data demonstrate unacceptable treatment. The patient may also be notified of future visits or to manage them differently.

The system gives the patient a number of choices for a given situation based on the model described above. The patient may, for example, to inform about what level or con entrace blood glucose is very high, and the patient can provide a choice of either exercise exercises a certain time, or to introduce a certain amount of drugs. The choice allows the patient to feel that the treatment is under his control, and to increase therapeutic value of treatments.

On Fig shows two of the dispenser and the communication channels between them. Dispensers are identical for the typical patient, one dispenser contains a fast-acting insulin, and the second insulin prolonged. The dispensers include a microcontroller and a memory device, as shown in Fig. Dispensers can hold information about the type of insulin they contain. This information can be obtained either by reading the dispenser bar code on the cartridge, or the information can be entered by the patient. Thus, the properties of the dispenser allow him to record information about insulin therapy (type, dose, and time stamp).

One dispenser supply unit 73 of the cover, which acts as a container for storing spare insulin cartridges, needles and the like. The storage container is capable of detecting the contents of the container that allows you to keep track of updates to the inventory as described above.

The second dispenser supply unit 74 of the cover containing the blood glucose meter, a microcontroller and a memory device. This allows b is the eye 74 of the cover to register information about the concentration of glucose in the blood (with a timestamp).

All dispensers 71, 72 and blocks 73, 74 of the cover include an interface that allows them to communicate. In this example, functional leading module is a block 74 of the cover with a glucometer, and it includes a Generator options, as well as he in addition to the local interface includes an interface to communicate with external units via the standard communication channels (RS-232), wireless LAN, telephone, cell phone, pager, satellite communication etc). Through these communication channels and information about the patient's treatment can be transferred to a personal computer 80 of the patient or, for example, through the telephone network 75 in the electronic patient record on a Central server 76. From here to data about treatment can have access to the patient, for example, via a web page using a desktop computer 77, portable computer 78, a miniature computer 79 and the like. In addition to patient data the patient can have access to experts from the healthcare team. The leader block 74 patients can receive data from the Central server 76, in addition to the data transfer.

This system has the advantage of three-level operation.

If one of the devices 11, 12, 13, 74 patients isolated means of communication, it will log data.

When the devices 11, 12, 13, 74 patients nahodatsa is within the range of communication, treatment data is passed to the host device 74, allowing him to provide patients with an overview of its treatment, as well as warnings and alarms, if the data show that could happen potentially dangerous situation.

When the host device 74 is connected to the Central server 76 via the standard communication channel treatment data passed into the electronic patient record. This allows the expert system on the Central server to notify the medical team, if necessary. The medical team can send the information to the user or to send help if needed.

In addition, it is known that due to the security requirements of the patient, the development of medical devices requires considerable time. The use of local communication between devices 71, 72, 73, 74 patients gives the advantage that only a master device 74 will need to be redesigned due to ongoing changes in the standard communication channels.

1. Way of providing many choices of instructions for a user when conducting medical procedures, including the collection phase in the individual database of the user data representing values of a group of parameters associated with the physiological condition of the user, characterized in that on which includes the steps on which estimate one or more predicted values for a specific parameter from a parameter group based on the information in a separate database user and calculate a lot of choices of directions based on the estimated one or more predicted values and data in a separate database user to provide two or more choices of instructions and at least one value of a specific parameter for each choice leading values of a specific parameter in the range of acceptable values at different future points in time.

2. The method according to claim 1, characterized in that the step of collecting data includes collecting one or more of the following data: individual characteristics and/or data to the user, some of the healthcare team, and/or professional and/or the Central system, the data, at least one portable device, the data entered by the user manually, the option selected by the user, and the corresponding value of the specific parameter, the data of the time stamp and date.

3. The method according to claims 1 and 2, characterized in that the step of collecting data includes automatic collection of data, at least one portable device, and the aforementioned at least one port is active device is selected from the group includes analyzer body fluids, the device control glucose levels in the blood, including its current level, the device of the drug administration device of insulin administration, the dispenser tablets, inhaler.

4. The method according to claims 1 to 3, characterized in that it further comprises a stage on which to present at least one choice of the above calculated choices associated with the use of portable devices from participating and being active portable devices.

5. The method according to claims 1 to 4, characterized in that it further includes the steps, which transmit information in the device administration of medication, and said information includes a predefined number of units of drugs subject to acceptance in accordance with the specific choice of these calculated choices, and set the number of units of medication to be received.

6. The method according to claims 1 to 5, characterized in that the evaluation stage is carried out on the basis of a dynamic model representing the human metabolism.

7. The method according to claims 1 to 6, characterized in that the step of calculating the set of choices is carried out by estimating the difference between the desired predicted value for specific parameters is a and a predefined value of this particular parameter for each selection.

8. The method according to claims 1 to 7, characterized in that it further includes the step of notifying the user that at least one of these predicted values outside the established acceptable range of values.

9. The method according to claims 1 to 8, characterized in that the method further comprises the step of notifying the healthcare team, or professionals, or the Central system that at least one of these predicted values outside the established acceptable range of values.

10. The method according to claims 1 to 9, characterized in that the said one or more predicted values represent the predicted glucose level in the blood (UGC) at various future points in time.

11. The method according to claims 1 to 10, characterized in that the said group of parameters is one or more of the following parameters: the level of glucose in the blood (UGC), the concentration of body fluids, the quantity of the drugs introduced, the number of injected insulin, type of medication, time stamp, number of accepted food, the number of accepted drinking, the measure of physical activity, the value representing the sensitivity to insulin to a user, the temperature of the user, the blood pressure of the user and the user's weight.

12. The method according to claims 1 to 11, characterized in that the KJV is anutie choices are selected from the group includes the following: to enter a predefined type and amount of the drug to enter the insulin slow action, to enter the fast-acting insulin to take pills, exercise within a specified period of time, to take a specified amount of food and to take a specified number of drink.

13. The method according to claims 1 to 12, characterized in that the said method involves the use of one or more of the following medications: insulin, growth hormones, oral giperglikemiceski agent, as well as using gormonozawisimaya therapy.

14. The method according to claims 1 to 13, characterized in that it further includes the step of controlling the exchange of data between many portable devices intended for use by the user, and mentioned the use includes the first step and at least a second action, and these portable devices include a first device to perform the first act and at least a second device to perform a second action, and each device contains a means for performing one or more of the following functions: storage, transmission, reception, processing and displaying information, while the data transfer between these devices initiate on-demand and its management is the development shall be implemented by the functional master module, with these functions the master module designate, at least two of the mentioned devices and at least two of the mentioned devices prescribed processing device containing the aforementioned one or more databases.

15. The method according to 14, wherein the software information with the highest priority in relation to the management and exchange of data between these devices retain or intensify in the above-mentioned functional master module.

16. The method according to PP and 15, characterized in that it further includes the appointment of a new functional master module if the current assigned functional leading module becomes unavailable.

17. The method according to PP and 15, characterized in that it further includes the appointment of a new processing device if the current assigned processing device becomes unavailable.

18. A computer system containing means for executing the program, the program when executed, provides execution using the computer method comprising the step of collecting individual database user data representing values of a group of parameters associated with the physiological condition of the user, different stages, on which estimate one or more of the cons is projected values for a specific parameter from a parameter group based on the information in a separate database user and calculate a lot of choices of directions based on the estimated one or more predicted values and data in a separate database user to provide two or more choices of instructions and at least one value of a specific parameter for each choice leading values of a specific parameter in the range of acceptable values at different future points in time.

19. System p, characterized in that the step of collecting data includes collecting one or more of the following data: individual characteristics and/or data to the user, some of the healthcare team, and/or professional and/or the Central system, the data, at least one portable device, the data entered by the user manually, the option selected by the user, and the corresponding value, data time stamp and date.

20. System p and 19, characterized in that the step of collecting data includes automatic collection of data, at least one portable device, and referred to at least one portable device is selected from the group comprising an analyzer body fluids, the device control glucose levels in the blood, including its current level, the device of the drug administration device of insulin administration, the dispenser tablets, inhaler.

21. System PP and 20, trichomania fact, which further includes the step, which represent at least one choice of the above calculated choices associated with the use of portable devices from participating and being active portable devices.

22. System PP-21, characterized in that it further includes the steps at which information is transferred in the device administration of medication, and said information includes a predefined number of units of drugs subject to acceptance in accordance with the specific choice of these calculated choices, and sets the number of units of medication to be received.

23. System PP-22, characterized in that the step of estimating the predicted values is based on a dynamic model representing the human metabolism.

24. System PP-23, characterized in that the step of calculating the set of choices by estimating the difference between the desired predicted value for a particular parameter and a predefined value of this particular parameter for each selection.

25. System PP-24, characterized in that said method further includes the step of notifying the user the La about that at least one of these predicted values outside the established acceptable range of values.

26. System PP-25, characterized in that said method further includes the step of notifying the healthcare team, or professionals, or the Central system that at least one of these predicted values outside the established acceptable range of values.

27. System PP-26, characterized in that the said one or more predicted values represent the predicted glucose level in the blood (UGC) at various future points in time.

28. System PP-27, characterized in that the said group of parameters is one or more of the following parameters: the level of glucose in the blood (UGC), the concentration of body fluids, the quantity of the drugs introduced, the number of injected insulin, type of medication, time stamp, number of accepted food, the number of accepted drinking, the measure of physical activity, the value representing the sensitivity to insulin to a user, the temperature of the user, the blood pressure of the user and the user's weight.

29. System PP-28, characterized in that the above options are selected from the group comprising the following: enter p is evritania a certain type and amount of medication, to enter insulin slow action, to enter the fast-acting insulin to take pills, exercise within a specified period of time, to take a specified amount of food and to take a specified number of drink.

30. System PP-29, characterized in that the said method involves the use of one or more of the following medications: insulin, growth hormones, oral giperglikemiceski agent, as well as using gormonozawisimaya therapy.

31. System PP-30, characterized in that said method further includes the step of controlling the exchange of data between many portable devices intended for use by the user, and mentioned the use includes the first step and at least a second action, and these portable devices include a first device to perform the first act and at least a second device to perform a second action, and each device contains a means for performing one or more of the following functions: storage, transmission, reception, processing and displaying information, the transfer of data between the specified device is initiated by a request, and its control is performed by the functional master module, the eat referred to the functional lead module is assigned, at least two of the mentioned devices and at least two of the above devices is assigned a processing device containing the aforementioned one or more databases.

32. System p, wherein the software information with the highest priority in relation to the management and exchange of data between these devices is saved or activated in the above-mentioned functional master module.

33. System p and 32, characterized in that said method further includes the appointment of a new functional master module if the current assigned functional leading module becomes unavailable.

34. System p and 32, characterized in that said method further includes the appointment of a new processing device if the current assigned processing device becomes unavailable.

35. Machine-readable media containing recorded thereon a program, the program when executed, provides execution using the computer method comprising the step of collecting individual database user data representing values of a group of parameters associated with the physiological condition of the user, different stages, on which estimate one or more predicted value is y for a specific parameter from a parameter group based on the information in a separate database user and calculate a lot of choices of directions based on the estimated one or more predicted values and data in a separate database user to provide two or more choices of instructions and at least one value of a specific parameter for each choice leading values of a specific parameter in the range of acceptable values at different future points in time.

36. Media in p, characterized in that the step of collecting data includes collecting one or more of the following data: individual characteristics and/or data to the user, some of the healthcare team, and/or professional and/or the Central system, the data, at least one portable device, the data entered by the user manually, the option selected by the user, and the corresponding value of the specific parameter, the data of the time stamp and date.

37. Media in PP and 36, characterized in that the step of collecting data includes automatic collection of data, at least one portable device, and referred to at least one portable device is selected from the group comprising an analyzer body fluids, the device control glucose levels in the blood, including its current level, the device of the drug administration device of insulin administration, the dispenser tablets, inhaler.

38. The media is about p-37, characterized in that said method further includes the step, which represent at least one choice of the above calculated choices associated with the use of portable devices from participating and being active portable devices.

39. Media in PP-38, characterized in that said method further includes the steps, which transmit information in the device administration of medication, and said information includes a predefined number of units of drugs subject to acceptance in accordance with the specific choice of these calculated choices, and set the number of units of medication to be received.

40. Media in p-39, characterized in that the step of estimating the predicted values is carried out on the basis of a dynamic model representing the human metabolism.

41. Media in PP-40, characterized in that the step of calculating the set of choices is carried out by estimating the difference between the desired predicted value for a specific parameter with a predefined value of this particular parameter for each selection.

42. Media in PP-41, characterized in that the said way more the tion includes the step of notifying the user about that at least one of these predicted values outside the established acceptable range of values.

43. Media in PP-42, characterized in that said method further includes the step of notifying the healthcare team, or professionals, or the Central system that at least one of these predicted values outside the established acceptable range of values.

44. Media in PP-43, characterized in that the said one or more predicted values represent the predicted glucose level in the blood (UGC) at various future points in time.

45. Media in PP-44, characterized in that the said group of parameters is one or more of the following parameters: the level of glucose in the blood (UGC), the concentration of body fluids, the quantity of the drugs introduced, the number of injected insulin, type of medication, time stamp, number of accepted food, the number of accepted drinking, the measure of physical activity, the value representing the sensitivity to insulin to a user, the temperature of the user, the blood pressure of the user and the user's weight.

46. Media in PP-45, characterized in that the above options is chosen from the group comprising the following: enter the specific seat reservation type and amount of medication, to enter insulin slow action, to enter the fast-acting insulin to take pills, exercise within a specified period of time, to take a specified amount of food and to take a specified number of drink.

47. Media in PP-46, characterized in that the said method involves the use of one or more of the following medications: insulin, growth hormones, oral giperglikemiceski agent, as well as using gormonozawisimaya therapy.

48. Media in PP-47, characterized in that said method further includes the step of controlling the exchange of data between many portable devices intended for use by the user, and mentioned the use includes the first step and at least a second action, and these portable devices include a first device to perform the first act and at least a second device to perform a second action, and each device contains a means for performing one or more of the following functions: storage, transmission, reception, processing and displaying information, the data transfer between these devices is initiated by a request, and its control is performed by the functional master module, and the KJV is anuty functional leading module is assigned, at least two of the mentioned devices and at least two of the above devices is assigned a processing device containing the aforementioned one or more databases.

49. Media in p, wherein the software information with the highest priority in relation to the management and exchange of data between these devices is saved or activated in the above-mentioned functional master module.

50. Media in PP and 49, characterized in that said method further includes the appointment of a new functional master module if the current assigned functional leading module becomes unavailable.

51. Media in PP-49, characterized in that said method further includes the appointment of a new processing device if the current assigned processing device becomes unavailable.

52. A device for providing many choices of instructions for a user when conducting medical procedures containing means, programmed to collect in a separate database user data representing values of a group of parameters associated with the physiological condition of the user, characterized in that it contains the processor, programmed dsactive one or more predicted values for a specific parameter from a parameter group based on the information in a separate database user and the said processing means is additionally programmed to calculate a variety of choices of directions based on the estimated one or more predicted values and data in a separate database user to provide two or more choices of instructions and at least one value of a specific parameter for each choice leading values of a specific parameter in the range of acceptable values at different future points in time.

53. The device according to paragraph 52, wherein the means for collecting is configured to collect one or more of the following data: individual characteristics and/or data to the user, some of the healthcare team, and/or professional and/or the Central system, the data, at least one portable device, data entered manually by the user, the options selected by the user, and the corresponding value of the specific parameter, the data of the time stamp and date.

54. The device according to PP and 53, characterized in that the means for data collection are made with the ability to automatically collect data from at least one portable device, and referred to at least one portable device is selected from the group consisting of with the BOJ analyzer body fluids, device control the level of glucose in the blood, including its current level, the device of the drug administration device of insulin administration, the dispenser tablets, inhaler.

55. The device according to item 54, characterized in that it further comprises means for presenting at least one option from the above-mentioned calculated choices associated with the use of portable devices, from among present and are active portable devices.

56. The device according to p-55, characterized in that it is arranged to transmit information in the device administration of medication, and said information includes a predefined number of units of drugs subject to acceptance in accordance with the specific choice of these calculated choices, and setting the number of units of medication to be received.

57. the Device according to p-56, characterized in that the evaluation is based on a dynamic model representing the human metabolism.

58. The device according to p-57, characterized in that the processing means is arranged to calculate a variety of choices by estimating the difference between the desired predicted value for a specific parameter with a pre-definite is m, the value of this particular parameter, for each selection.

59. The device according to p-58, characterized in that it further comprises means for notifying the user that at least one of these predicted values outside the established acceptable range of values.

60. The device according to p-59, characterized in that it further comprises means for notifying the healthcare team, and/or professionals, and/or the Central system that at least one of these predicted values outside the established acceptable range of values.

61. The device according to p-60, characterized in that the said independent procedures is an independent procedures for patients with diabetes, and mentioned one or more predicted values represent the predicted glucose level in the blood (UKG) at various future points in time.

62. The device according to p-61, characterized in that the said group of parameters is one or more of the following parameters: the level of glucose in the blood (UGC), the concentration of body fluids, the quantity of the drugs introduced, the number of injected insulin, type of medication, time stamp, number of accepted food, the number of accepted drinking, the measure of physical activity, the value represents the total sensitivity to insulin for the user, the temperature of the user, the blood pressure of the user and the user's weight.

63. The device according to PP-62, characterized in that the said choices selected from the group comprising the following: introduction of a predefined type and quantity of medication, insulin slow action, the introduction of fast-acting insulin, pills, exercise within a specified period of time, receive the specified amount of food and receive a specified number of drink.

64. The device according to p-63, characterized in that the said device is associated with one or more of the following medications: insulin, growth hormones, oral giperglikemiceski agent, as well as using gormonozawisimaya therapy.

65. The device according to p-64, characterized in that it further comprises means for managing the exchange of data between multiple portable devices intended for use by the user, and mentioned the use includes the first step and at least a second action, and these portable devices include a first device to perform the first act and at least a second device to perform a second action, and each device contains means for completed what I one or more of the following functions: storage, transmission, reception, processing and displaying information, the transfer of data between these devices is initiated by a request, and its control is performed by the functional master module, and mentioned functional leading module is assigned to at least two of the mentioned devices, and at least two of the above devices is assigned a processing device containing the aforementioned one or more databases.

66. The device according to p, wherein the software information with the highest priority in relation to the management and exchange of data between these devices is saved or activated in the above-mentioned functional master module.

67. The device according to PP and 66, characterized in that it further comprises means for assigning a new functional master module if the current assigned functional leading module becomes unavailable.

68. The device according to PP and 66, characterized in that it further comprises means for assigning a new device processing if the current assigned processing device becomes unavailable.

69. The device according to p, characterized in that the program information recorded on a machine-readable medium and includes tools for program execution.



 

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EFFECT: reduced risk of complications in performing tests.

FIELD: medicine.

SUBSTANCE: method involves carrying out ultrasonic scanning examination of subclavian artery over its whole extent in physiological arm position with arterial blood pressure being measured in the middle one third of the arm. Next, when applying compression tests, blood circulation parameters variations are recorded in distal segment of the subclavian artery with arterial blood pressure being concurrently measured. Three degrees of superior thorax aperture syndrome severity are diagnosed depending on reduction of linear blood circulation velocity and arterial blood pressure compared to their initial values. Mild one takes place when linear blood circulation velocity reduction reaches 40% and arterial blood pressure 20% of initial level, moderate one when linear blood circulation velocity reduction reaches 70% and arterial blood pressure 50% and heavy one when linear blood circulation velocity reduction is greater than 70% of initial level and arterial blood pressure is greater than 50% to the extent of no blood circulation manifestation being observed in the subclavian artery.

EFFECT: high accuracy of diagnosis.

The invention relates to medicine, cardiology, cardiac surgery

FIELD: medicine.

SUBSTANCE: method involves carrying out ultrasonic scanning examination of subclavian artery over its whole extent in physiological arm position with arterial blood pressure being measured in the middle one third of the arm. Next, when applying compression tests, blood circulation parameters variations are recorded in distal segment of the subclavian artery with arterial blood pressure being concurrently measured. Three degrees of superior thorax aperture syndrome severity are diagnosed depending on reduction of linear blood circulation velocity and arterial blood pressure compared to their initial values. Mild one takes place when linear blood circulation velocity reduction reaches 40% and arterial blood pressure 20% of initial level, moderate one when linear blood circulation velocity reduction reaches 70% and arterial blood pressure 50% and heavy one when linear blood circulation velocity reduction is greater than 70% of initial level and arterial blood pressure is greater than 50% to the extent of no blood circulation manifestation being observed in the subclavian artery.

EFFECT: high accuracy of diagnosis.

FIELD: medicine.

SUBSTANCE: method involves recording heart beat rate and systolic arterial blood pressure before and after two-stage exercise stress. The first stage is of 50 W within 3 min and the second one is of 75 W during 2 min. Patient rest pause is available between loading stages to recover initial heart beat rate. Prognostic estimation of cardiopulmonary complications is carried out with mathematical formula applied.

EFFECT: reduced risk of complications in performing tests.

FIELD: medicine.

SUBSTANCE: method involves measuring cardio- and hemodynamic values, calculating estimates of the values and displaying the estimates on monitor. Measuring and calculating each cardio- and hemodynamic value is carried out during basic periods of their oscillations corresponding to heart contraction cycle and respiratory cycle related to absolute time.

EFFECT: high accuracy of estimation.

4 dwg, 1 tbl

FIELD: medicine; medical engineering.

SUBSTANCE: method involves connecting patient to device via bite-board. The patient makes expiration via tube connected to inlet valve of respiratory sack. The expired air is accumulated in the respiratory sack in the amount of equal to the respiratory sack volume. Timer is set for 15 min after being filled. Microcompressor pumps the air expired by the patient via tube filled with silicagel at constant flow rate. The patient goes on filling the respiratory sack with expired air while the microcompressor is operating. After the timer expires, 0.5-1.0 ml of humidity is obtained from the expired air adsorbed on silicagel. Single-use tube containing silicagel is soldered and kept in frost chamber until its biochemical examination is carried out. The device has airtight respiratory sack having inlet and outlet valves. The inlet valve is connected to tube provided with bite-board. The outlet valve is connected to tube containing silicagel layer.

EFFECT: humidity sampling independence of patient state.

2 cl, 1 dwg

FIELD: medicine; medical engineering.

SUBSTANCE: method involves connecting patient to device via bite-board. The patient makes expiration via tube connected to inlet valve of respiratory sack. The expired air is accumulated in the respiratory sack in the amount of equal to the respiratory sack volume. Timer is set for 15 min after being filled. Microcompressor pumps the air expired by the patient via tube filled with silicagel at constant flow rate. The patient goes on filling the respiratory sack with expired air while the microcompressor is operating. After the timer expires, 0.5-1.0 ml of humidity is obtained from the expired air adsorbed on silicagel. Single-use tube containing silicagel is soldered and kept in frost chamber until its biochemical examination is carried out. The device has airtight respiratory sack having inlet and outlet valves. The inlet valve is connected to tube provided with bite-board. The outlet valve is connected to tube containing silicagel layer.

EFFECT: humidity sampling independence of patient state.

2 cl, 1 dwg

FIELD: medicine.

SUBSTANCE: method involves selecting a set of points describing vertebral column arch form, estimating central angle value, chord inclination, arch radius and chord length in each vertebral column segment. Vertebral column function is evaluated on the basis of central angle value and arch radius in standard positions. Angular and linear parameters describing vertebral column form and spatial orientation in three planes are calculated and compared to parameter values characterizing normal state.

EFFECT: high accuracy of quantitative parameters estimations.

1 tbl

FIELD: medicine.

SUBSTANCE: method involves examining extremity muscles corresponding to their reflexosegmental links to visceral organs under study. To do it, patient extremity is set in a position, which causes maximum number of muscle fibers to contract. Then, the muscle is brought to isometric contraction state by applying pressure with patient counteraction to this pressure. Pressure applied to the extremity is increased in 1.5-2 s. The patient showing inability to hold isometric stress, changed function of organ under test is to be diagnosed.

EFFECT: accelerated way to detect viscera function disorders.

1 tbl

FIELD: medicine.

SUBSTANCE: method involves forming signals as tests requiring solution. The tests are shown with frequency changed proportionally to the frequency they are solved. The number of tests is set to be the same in the cases of recovered and tired state. General amount of time spent for finding solution for given number of tests and the number of tests having right solutions are determined in each state. Mental fatigue degree is evaluated from relative change of mean time needed for finding the right test solution using a relationship like (Tm.r- Tm.t)100%/Tm.t, where Tm.t = Tsum.t/Kr.t, Tm.r = Tsum.r/Kr.r, Tm.t is the time spent for finding the right answer in tired state, Tm.r is the time spent for finding the right answer in recovery state, Tsum.t is the total time spent to solve given number of tests in tired state, Tsum.r is the total time spent to solve given number of tests in recovered state, Kr.t is the number of right answers to the tests in tired state, Kr.r is the number of right answers to the tests in recovered state.

EFFECT: reliable estimation of fatigue degree.

FIELD: animal science.

SUBSTANCE: the present innovation deals with dynamic loading onto cardio-vascular system in animals. Selection should be carried out by the following parameters: , ΔT3 and Δn, where ΔT1 - the time for pulse increase at running, ΔT2 - the time for pulse stabilization after running, ΔT3 - the time for pulse increase after running, Δn - the increase of pulse frequency after running. One should select animals into milking herd at the following values; ΔT3 ≤ 10 sec, Δn ≤ 10 beats/min. The method enables to present perspective evaluation of lactation capacity in animals.

EFFECT: higher efficiency of selection.

1 dwg, 1 ex, 1 tbl

FIELD: medicine; medical engineering.

SUBSTANCE: method involves collecting information and storing it in single database or several databases representing parameter values of significance to enable one to carry out the procedures on his/her own, and operations for processing the mentioned single database or several databases to show alternative variants for making selection among two or more actions and values corresponding to each of two or more actions. Device has means for making calculations, required for implementing the method, and computer system and machine-readable carrier having program written on it and capable of implementing the method corresponding to the invention, on computer.

EFFECT: wider range of means accessible to end user.

69 cl, 8 dwg, 1 tbl

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