A method for diagnosing and forecasting the development of epilepsy in patients with preclinical stage of the disease
(57) Abstract:The invention relates to medicine, namely to psychiatry and neurology, and can be used as a method of revealing hidden epileptogenesis. Register the EEG in a patient's condition passive wakefulness. Method the cross-correlation analysis of process fragments EEG lasting no more than one minute, which do not contain paroxysmal activity. Get factors crosscorrelate (HCC) alpha activity between the leads of the left frontal and left occipital regions. The obtained values HCC ranging from -1,00 to -0,35 indicate the health of the patient, when values of HCC from 0.34 to 0,00 diagnose preclinical stage of epilepsy, but values HCC from 0.01 to 1.00 - clinical stage of epilepsy. The method improves the accuracy of diagnosis of epilepsy development. table 2. The invention relates to medicine, namely to psychiatry and neurology, and can be used as a method of revealing hidden epileptogenesis, giving an opportunity to assess the degree of compansionate or mobility, allowing to improve the diagnosis of epilepsy in its preclinical stage.In this izobreteniya on the electroencephalogram (EEG); 2) about the same seizures without changes on EEG and 3) of febrile convulsions in children.A practical physician in such cases, in addition to the diagnostics have to decide if treatment is needed. The lack of scientific interpretation and the unified medical tactics against observed facts negatively affects the work of the doctor and therefore the effectiveness of therapy.So the inevitable question about the possible existence of latent, clinically manifested period of epilepsy occurring depending on the compensatory abilities of the body at different speeds first, biochemical, and then and ultrastructural levels changes cells. Similar is observed when the incubation period of infectious diseases and complies with asymptomatic primary for many diseases.The study of epilepsy and its etiopathogenesis is devoted considerable number of works [1, 2, 3], which cannot be said about the period preceding it, i.e. the stage of pre-existing disease. In the literature sometimes there are articles in which attempts are made to find out the reason the availability on the spontaneous EEG paroxysmal activity in the absence of seizures or other is P. Bekhtereva et al. , proposing the concept of sustainable pathological condition in diseases of the brain comes to the conclusion that when the brain fixture is not due to fill in the missing links, and the resulting formation of a new "homeostasis", the new steady state, ensuring the best possible in terms of disease adaptation to the environment. In its opinion, the stability stable pathological condition associated with formation of the corresponding matrix in long-term memory. If the pathological process progresses, the systems providing sustainable pathological condition first occurs quantitative changes. Support reactions of the organism are considered compensatory. Further progress of the disease can be associated with the quality of the reconstructions and the exhaustion of the compensatory-hyperactive systems, i.e. decompensation.According to theory, N. Kryzhanovsky  about epileptogenesis you can imagine that under the influence of endo - or exogenous factors comes epileptische neurons, not reaching the stage of formation of the epileptic focus, i.e. does not fully decompensation protection mechanisms of the brain, and not developing new condition may remain indefinitely and even progress, although in some cases under the influence of the additional hazards may occur transient decompensation in a single attack. Apparently, accidentally recorded spontaneous paroxysmal activity on EEG can be attributed to this stage.Attempts to understand psycho-physiological stage of epilepsy has already been done. So, such as Miridonov believes that the diagnostic criterion of this stage is the period from the beginning of the development of the first cerebral seizures before the second unprovoked epileptic seizure, and an average of 1-2 years . L. P. Zenkov, combining a number of features of the risk of developing epilepsy (36) and giving each a certain importance in points, identified groups of subjects with maximum and minimum possibility of carrying in itself the epileptic process, clinically not yet fully designed  . Unfortunately, these researchers failed to visualize hidden leaky epileptogenic, in routine EEG is not giving any graphelement typical of bioelectric activity of a brain of the patient with epilepsy.It is known that normal bioelectric brain activity h is to promote the strengthening of synchronous rhythmic flow processes with a tendency to increase in amplitude and sharpening of the peaks of the action potentials and, in particular, the advent of hypersynchronous alpha rhythm [8, 9]. You probably have a common physiological mechanisms underlying the synchronization of the alpha rhythm and hypersynchronous epileptic activity.Hidden leaking epileptogenic at the preclinical stage of the disease should also lead to certain disorders synchronization of the EEG. Therefore, the search for new neurophysiological criteria that allow to analyze cerebral dysfunction at the stage of minimal manifestations of neuronal hypersynchronization is important from the point of view of improvement of diagnostics of epilepsy, especially in its preclinical stage, and early influence on the course of the pathological process.Quantitative and qualitative characteristics of the synchronization of the EEG can be estimated using the method of correlation analysis, the advantage of which is the ability to identify periodic oscillations even when their amplitude is many times smaller than the amplitude of the irregular fluctuations. Thus, the application of this method is possible with any type of bioelectrical activity of the brain, even in case of insufficient representation of the alpha rhythm is their phase shift and to quantify the degree of Association or similarity of the two processes , particularly attuned to the functioning of neurons in different areas of the cerebral cortex, that is, to identify the features of spatial synchronization of the EEG.The closest to the invention is a method of diagnosis and prognosis of epilepsy, including electroencephalographic monitoring and subsequent processing of the received EEG .The disadvantage of this method is the inability to reliably predict the development of disease in patients with preclinical stage of the disease, especially in the paroxysmal three conditions: 1) accidentally detected spontaneous paroxysmal activity on EEG; 2) a single seizures without changes on EEG and 3) febrile convulsions in children.The technical result of the present invention is to improve the reliability and accuracy of forecasting the development of epilepsy in patients with preclinical stage of the disease, mainly with the following paroxysmal States: 1) accidentally detected spontaneous paroxysmal activity on EEG; 2) one convulsive seizures without changes on EEG and 3) febrile convulsions in children.This result is achieved in that in the method d is tranceparency monitoring and subsequent processing of the received EEG according to the invention of the electroencephalogram processing carried out by the method of cross-correlation analysis, this process lead signals of the left and right frontal (F3 and F4), Central (C3 and C4), parietal (P3 and P4) and occipital (O1 and O2) regions in a state of passive wakefulness in areas that do not contain paroxysmal activity, the duration of the considered fragments not more than one minute, and using cross-correlation analysis estimate of selected characteristics of the signal of the alpha rhythm (8-13 Hz) to obtain the coefficients of crosscorrelate alpha activity between selected leads, moreover, the values of the coefficients of crosscorrelate (HCC) between the signal lead of the left frontal region (F3) and the left occipital region (O1), which is in the range from -1,00 to -0,35 evidence indicates the health of the patient, when values of HCC between F3 and O1 from 0.34 to 0,00 - preclinical stage of epilepsy, and the values HCC between F3 and O1 from 0.01 to 1.00 correspond to the clinical stage of the disease.This study helped to identify an objective measure of the degree of epileptic activity brain-based quantitative assessment of the level of synchronization of the EEG in the range of the alpha rhythm method crosswa paroxysmal States, not reaching in its manifestations clinical symptom of epilepsy. Mean accidentally detected paroxysmal EEG changes that are not accompanied by seizures, one unprovoked seizure seizures and febrile convulsions.Clinical research is presented to a group of subjects with preclinical stage of epilepsy (LTO) having two or more risk factor for epilepsy high importance, such as spontaneous paroxysmal (parasitophobia) violation of EEG, one unprovoked epileptic seizure without changes on EEG and febrile convulsions in the early period. The observed group includes 114 (51 men, 63 women) aged from 16 to 52 years.For the reliability analysis, we introduce two control groups: 1) patients with epilepsy, 2) healthy. Analyzed the observed should take between them like an intermediate position according to the above concept of "predvoleny".Control group were: 1) epilepsy patients with clinically detected attacks and the duration of the illness before the year is 59 people (30 men, 29 women) aged from 17 to 54 years - clinical stage of epilepsy (CTU); 2) healthy (volunteers) - 30 Las monopolar on multi-computer electroencephalograph "Encephalan 131-01" with the electrodes according to the international system "10-20" and the use of reference electrodes, located on the earlobe. Recording was carried out in a state of passive wakefulness, when exposed to 3-minute hyperventilation and rhythmic photostimulation.Material for further processing served as lead signals F3 and F4 (left and right frontal region, respectively), C3 and C4 (right and left Central region), P3 and P4 (left and right parietal areas), O1 and O2 (left and right occipital region) in a state of passive wakefulness in areas that do not contain paroxysmal activity. The duration of the considered fragments EEG was 1 min was Estimated characteristics selected from the signal of the alpha rhythm (8-13 Hz). Using cross-correlation analysis were obtained factors crosscorrelate alpha activity between selected leads. Determination of the degree of reliability of differences of averages was carried out on the level of p<0,05, t-test, Student.The results of the cross-correlation analysis of EEG in the range of the alpha rhythm showed (table. 1) that in all three groups surveyed, there is a high level of positive correlation relationships between symmetric regions of the hemispheres. There is a small discovery.Received positive crosscorrelation alpha rhythm between adjacent regions of the same hemisphere showed a slight increase in the values of the coefficients of crosscorrelate in the group with LTO (predvoleny) and even greater in the group with CTU (illness). Especially clearly increased correlative relationships in the process of increasing epileptic activity brain can be traced between the leads C3 and P3, C4, and P4.Significant intergroup differences in the cross-correlation coefficients found between the leads F3 and O1, F4 and O2. Moreover, in the group of healthy subjects there are negative correlations in the alpha range between these areas (respectively
-44,285,94 and -34,856,59), declining in the group of patients with LTO (-22,252,93 and -13,533,27) and acquires positive values in the group with CTU (21,044,13 and 16,146,02).According to the results of the cross-correlation analysis we can talk about the complexity and ambiguity of the physiological processes at the LTO. So, revealed a small decrease in interhemispheric EEG synchronization between frontal and occipital departments, may be a consequence of the prevalence of disorders of the brain in one of its hemispheres of education ease, more clearly traceable between the Central and parietal regions, probably due to the increase in constrained neural activity nearby areas, preceding the emergence of hypersynchronous paroxysmal discharges.Especially significantly transformed the nature of the relationship between the anterior and posterior divisions of the cerebral cortex. Reciprocal of fronto-occipital connections, which are characteristic of healthy people and are a sign of a reverse phase relationship of the alpha rhythm [12, 13], change significantly during the growing epileptogenesis, weakening already at an early stage of the epileptic process (LTO) and disappearing in the emergence of clinically recorded seizures (CPS). Violation of the changing phases of the alpha rhythm in fronto-occipital direction in epilepsy is associated with the formation of paroxysmal activity and can be explained by the change in the activity of deep brain structures.Thus, based on data from the cross-correlation analysis is most pronounced hidden leaky epileptogenic reflected in violation of spatial synchronization of alpha activity between frontal and occipital regions of the cortex of the right and left hemisphere, which allows Ient crosscorrelation between F3 and O1 (HCC).From table. 2 shows that the values of HCC from -1,00 to -0,35 corresponds to physiological flow of bioelectrical processes of the brain (ZV), from 0.34 to 0,00 reflect the violation of their course in the period of LTO and from 0.01 to 1.00 - CTU (it should be noted that in individual cases the values of HCC may not fit within these parameters).Our research leads us to conclude that in the case of registration of the examined compensated epileptogenesis enough only dynamic observation. If detected in patients status (febrile seizures, paroxysmal activity on EEG, unprovoked epileptic seizure) complicated hereditary load epilepsy and morphological changes in the brain and are accompanied by positive values of HCC, indicating the progression of epileptogenesis, you should think of moving compensation to decompensation, i.e., in epilepsy. In this case, you need preventive treatment with the mandatory use of monotherapy with anti-epileptic drugs, which should be carried out to the maximum normalization and stabilization of the values of the above indicators.In General, crosscore bioelectric paroxysmal activity associated with increasing epileptische brain. This method EEG is of great practical importance, allows you to assess the dynamics of brain processes at different stages of epileptogenesis. Diagnostic accuracy of the method is not lower than 72%. The possibility of a diagnosis of epilepsy at the preclinical stage of the disease can significantly influence the course of disease process and in some cases to achieve blocking its further development.In conclusion, it is necessary to emphasize that the proposed method of identifying hidden epileptogenesis, giving an opportunity to assess the degree of compansionate or mobility, allows to improve the diagnosis of epilepsy at least 26.5% of patients, and the imposition of preventive therapy anti-epileptic drugs ensures the prevention of the development of the clinical stage of epilepsy.Thus, the proposed method for the diagnosis and forecasting of the development of epilepsy in patients with preclinical stage of the disease can increase the reliability and accuracy of forecasting the development of epilepsy in patients with preclinical stage of the disease and begin early preventive treatment, which is the OS the diagnostics and forecasting of the development of epilepsy in patients with preclinical stage of disease developed by the authors and has been tested in research psychoneurological Institute. C. M. Bekhterev.Sources of information
1. Gromov S. A. Rehabilitation of patients with epilepsy. L., 1987, 174 S.2. Charles C. A. Epilepsy. M., 1990, 336 S.3. Odinak M. M., Dyskin D. E. Epilepsy: etiopathogenesis, clinical presentation, differential diagnosis, medical treatment. SPb, 1997, 232 S.4. Bekhterev N. P. , Kambarov, D. K., Pozdeev C. K. Sustainable pathological condition in diseases of the brain. - L.: Medicine, 1978. - 240 S.5. Kryzhanovsky, N. Determinate patterns in pathology of the nervous system: generating mechanisms neuropathologically syndromes. - M., 1980. - 360 C.6. Miridonov Century So Prenosological period of epilepsy in children. Dis.... Dr. of Sciences. Ivanovo, 1997, 232 S.7. Zenkov L. R. Pathogenesis and multiparameter diagnosis of epileptic and nonepileptic seizures // Ukr. Terra medica nova. -1997. - 4. - C. 32-34. - 1998. - 1. - S. 44-46.8. Binaurally, R., Wayne A. M., Gafurov, B., A. R. Rahimdjanov. Epilepsy and the functional state of the brain. - So: Medicine, 1985. - 239 S.9. Zenkov L. R. Clinical electroencephalography with elements of epilepsy. Taganrog, 1996. - 357 S.10. Doroshenko C. A., N. Konev.M., Smirnov, C. A. recording and analysis the electroencephalogram. // Is">11. RU Patent 2156607, class. And 61 In 5/0476, 1999. the prototype.12. Shapovalenko A. N., Ciceron M. N., Panasonic B. C. Forming biopotential field of the human brain. Leningrad: Nauka, 1979. - 163 C.13. Barlow J., Estrin Th. Comparative phase characteristics of induced and intrinsic alpha activity // Electroenceph. Clin. Neurophysiol. 1971, v. 30. P. 1-9. A method for diagnosing and forecasting the development of epilepsy in patients with preclinical stage of the disease, including the registration of the electroencephalogram (EEG) in the patient's condition passive wakefulness and subsequent processing of the EEG, characterized in that the method of cross-correlation analysis of process fragments EEG lasting no more than one minute, which do not contain paroxysmal activity, get the coefficients crosscorrelation (HCC) alphaactivity between the leads of the left frontal and left occipital regions and the obtained values HCC ranging from -1,00 to -0,35 indicate the health of the patient, when values of HCC from 0.34 to 0,00 diagnose preclinical stage of epilepsy, but values HCC from 0.01 to 1.00 - clinical stage of epilepsy.
FIELD: medicine, neurology, psychopathology, neurosurgery, neurophysiology, experimental neurobiology.
SUBSTANCE: one should simultaneously register electroencephalogram (EEG) to detect the level of constant potential (LCP). At LCP negativization and increased EEG power one should detect depolarizational activation of neurons and enhanced metabolism. At LCP negativization and decreased EEG power - depolarized inhibition of neurons and metabolism suppression. At LCP positivation and increased EEG power - either repolarized or hyperpolarized activation of neurons and enhanced metabolism. At LCP positivation and decreased EEG power - hyperpolarized suppression of neurons and decreased metabolism of nervous tissue. The method enables to correctly detect therapeutic tactics due to simultaneous LCP and EEG registration that enables to differentiate transition from one functional and metabolic state into another.
EFFECT: higher accuracy of diagnostics.
5 dwg, 1 ex, 1 tbl
FIELD: medicine, neurology.
SUBSTANCE: one should establish neurological status, bioelectric cerebral activity, availability of perinatal and ORL pathology in patients, establish their gradations and numerical values followed by calculation of prognostic coefficients F1 and F2 by the following formulas: F1=-31,42+1,49·a1-2,44·a2+0,2·а3+1,63·a4+0,62·а5+3,75·a6+1,8·а7-3,23·a8-0,8·а9-1,32·а10+3,26·а11+8,92·a12-2,0·a13+3,88·а14+1,79·a15+0,83·a16-2,78·a17; F2=-27,58+1,43·a1+3,31·а2+0,08·а3+3,05·а4-0,27·а5+2,69·а6+3,11·а7-6,47·a8-6,55·a9+1,99·а10+5,25·а11+7,07·a12-0,47·a13+0,13·a14+4,04·a15-1,0·a16-1,14·а17, correspondingly, where a1 - patient's age, a2 - studying either at the hospital or polyclinic, a3 - duration of stationary treatment (in days), a4 - unconscious period, a5 - terms of hospitalization since the moment of light close craniocerebral trauma, a6 - smoking, a7 - alcohol misuse, a8 - arterial hypertension, a9 - amnesia, a10 - close craniocerebral trauma in anamnesis, a11 - psychoemotional tension, a12 - meteolability, a13 - cervical osteochondrosis, a14 - ORL pathology, a15 - availability of perinatal trauma in anamnesis with pronounced hypertension-hydrocephalic syndrome, a16 - availability of paroxysmal activity, a17 - availability and manifestation value of dysfunction of diencephalic structures. At F1 ≥ F2 on should predict the development of remote aftereffects in young people due to evaluating premorbid background of a patients at the moment of trauma.
EFFECT: higher reliability of prediction.
2 ex, 1 tbl
FIELD: medicine; medical engineering.
SUBSTANCE: method involves doing multi-channel recording of electroencephalogram and carrying out functional tests. Recording and storing rheoencephalograms is carried out additionally with multi-channel recording of electroencephalogram synchronously and in real time mode in carotid and vertebral arteries. Electroencephalograms and rheoencephalograms are visualized in single window with single time axis. Functional brain state is evaluated from synchronous changes of electroencephalograms, rheoencephalograms and electrocardiograms in response to functional test. The device has electrode unit 1 for recording bioelectric brain activity signals, electrode unit 2 for recording electric cardiac activity signals, current and potential electrode unit 3 for recording rheosignals, leads commutator 4, current rheosignal oscillator 5, synchronous rheosignal detector 6, multi-channel bioelectric brain activity signals amplifier 7, electrophysiological signal amplifier 8, demultiplexer 9, multi-channel rheosignal amplifier 10, multi-channel analog-to-digital converter 11, micro-computer 12 having galvanically isolated input/output port and personal computer 13 of standard configuration.
EFFECT: enhanced effectiveness of differential diagnosis-making.
11 cl, 6 dwg
FIELD: medicine; medical engineering.
SUBSTANCE: method involves recording multichannel electroencephalogram, electrocardiogram record and carrying out functional test and computer analysis of electrophysiological signals synchronously with multichannel record of electroencephalogram and electrocardiogram in real time mode. Superslow brain activity is recorded, carotid and spinal artery pools rheoelectroencephalogram is recorded and photopletysmogram of fingers and/or toes is built and subelectrode resistance of electrodes for recording bioelectrical cerebral activity is measured. Physiological values of bioelectrical cerebral activity are calculated and visualized in integrated cardiac cycle time scale as absolute and relative values of alpha-activity, pathological slow wave activity in delta and theta wave bandwidth. Cerebral metabolism activity dynamics level values are calculated and visualized at constant potential level. Heart beat rate is determined from electrocardiogram, pulsating blood-filling of cerebral blood vessels are determined from rheological indices data. Peripheral blood vessel resistance level, peripheral blood vessel tonus are determined as peripheral photoplethysmogram pulsation amplitude, large blood vessel tonus is determined from pulse wave propagation time data beginning from Q-tooth signal of electrocardiogram to the beginning of systolic wave of peripheral photoplethysmogram. Postcapillary venular blood vessels tonus is determined from constant photoplethysmogram component. Functional brain state is determined from dynamic changes of physiological values before during and after the functional test. Device for evaluating functional brain state has in series connected multichannel analog-to-digital converter, microcomputer having galvanically isolated input/output ports and PC of standard configuration and electrode unit for reading bioelectric cerebral activity signals connected to multichannel bioelectric cerebral activity signals amplifier. Current and potential electrode unit for recording rheosignals, multichannel rheosignals amplifier, current rheosignals generator and synchronous rheosignals detector are available. The device additionally has two-frequency high precision current generator, master input of which is connected to microcomputer. The first output group is connected to working electrodes and the second one is connected to reference electrodes of electrode unit for reading bioelectrical cerebral activity signals. Lead switch is available with its first input group being connected to potential electrodes of current and potential electrodes unit for recording rheosignals. The second group of inputs is connected to outputs of current rheosignals oscillator. The first group of outputs is connected to current electrodes of current and potential electrodes unit for recording rheosignals. The second group of outputs is connected to inputs of synchronous detector of rheosignals. Demultiplexer input is connected to output of synchronous detector of rheosignals and its outputs are connected to multichannel rheosignals amplifier inputs. Outputs of multichannel bioelectrical cerebral activity signals amplifier, multichannel rheosignals amplifier and electrophysiological signal amplifier are connected to corresponding inputs of multichannel analog-to-digital converter. Microcomputer outputs are connected to control input of lead switch, control input of multichannel demultiplexer, control input of multichannel analog-to-digital converter and synchronization inputs of current rheosignals oscillator and synchronous detector of rheosignals. To measure subelectrode resistance, a signal from narrow bandwidth current generator of frequency f1 exceeding the upper frequency fup of signals under recording is supplied. A signal from narrow bandwidth current generator of frequency f2≠ f1>fup is supplied to reference electrode. Voltages are selected and measured at output of each amplifier with frequencies of f1, f2 - Uf1 and Uf2 using narrow bandwidth filtering. Subelectrode resistance of each working electrode is determined from formula Zj=Ujf1 :(Jf1xKj), where Zj is the subelectrode resistance of j-th electrode, Ujf1 is the voltage at output from j-th amplifier with frequency of f1, Kj is the amplification coefficient of the j-th amplifier. Subelectrode resistance of reference electrode is determined from formula ZA=Ujf2 :(Jf2xKj), where ZA is the subelectrode resistance of reference electrode, Ujf2 is the voltage at output from j-th amplifier with frequency of f2, Jf2 is the voltage of narrow bandwidth current oscillator with frequency of f2.
EFFECT: wide range of functional applications.
15 cl, 10 dwg
FIELD: medicine, psychiatry.
SUBSTANCE: one should conduct EEG-testing to detect total value of the indices of spectral power or percentage spectral power of delta- and teta-rhythms due to spectrometric technique in frontal, parietal, central and temporal areas both before and during emotional-negative loading when visual emotionally negative stimuli are presented followed by their imaginary reproduction. In case of higher indices to visual stimuli being above 15% against the background one should diagnose epilepsy. The method enables to increase the number of diagnostic means, increase accuracy and objectivity in predicting epilepsy with polymorphic paroxysms at dissociation of clinical and EEG-values.
EFFECT: higher efficiency of diagnostics.
1 ex, 1 tbl
FIELD: medicine, neurophysiology.
SUBSTANCE: one should carry out EEG survey to detect spectrometrically the index of full range if alpha-rhythm both before and after therapy. Moreover, power index of full range of alpha-rhythm and the index of 9-10 Hz-strip's spectral power should be detected in occipital cerebral areas. One should calculate the value of the ratio of the index of 9-10 Hz-strip's spectral power to the index of full range of alpha-rhythm and at the increase of this value by 20% against the background it is possible to evaluate positive result of therapy. The method increases the number of diagnostic means applied in evaluating therapeutic efficiency in the field of neurophysiology.
EFFECT: higher efficiency of evaluation.
FIELD: medicine, neurology.
SUBSTANCE: method involves carrying out the standard vascular and nootropic therapy. Diazepam is administrated under EEG control with the infusion rate that is calculated by the following formula: y = 0.0015x - 0.025 wherein y is the rate of diazepam administration, mg/h; x is an average EEG amplitude, mcV. Method provides enhancing the effectiveness of treatment of patients. Invention can be used for treatment of patients in critical severe period of ischemic insult.
EFFECT: enhanced effectiveness of treatment.
2 tbl, 1 dwg, 1 ex
SUBSTANCE: method involves selecting signals showing patient consciousness level and following evoked auditory potentials as responses to repeating acoustic stimuli, applying autoregression model with exogenous input signal and calculating AAI index showing anesthesia depth next to it.
EFFECT: quick tracing of unconscious to conscious state and vice versa; high accuracy of measurements.
9 cl, 3 dwg
FIELD: medicine; experimental and medicinal physiology.
SUBSTANCE: device can be used for controlling changes in functional condition of central nervous system. Device has receiving electrodes, unit for reading electroencephalograms out, analog-to-digital converter and inductor. Low noise amplifier, narrow band filter linear array which can be program-tuned, sample and store unit, online memory, microcontroller provided with controlled permanent storage, liquid-crystal indicator provided with external control unit are introduced into device additionally. Receiving electrodes are fastened to top part of patient's head. Outputs of electrodes are connected with narrow band filters linear array through electroencephalograph. Output of linear array is connected with input of input unit which has output connected with input of analog-to-digital converter. First bus of analog-to-digital converter is connected with online storage. Recording/reading bus of microcontroller is connected with control input of input unit and its starting bus is connected with address input of online storage. Third control bus is connected with narrow band filters linear array. Second control bus is connected with liquid-crystal indicator. Output bus is connected with inductor. External control (keyboard) of first control bus is connected with microcontroller. Output of online storage is connected with data input of microcontroller through 12-digit second data bus. Efficiency of influence is improved due to getting specific directed influence being based onto general technological transparency of processing of human brain's signals and strictly specific influence based on the condition of better stimulation.
EFFECT: increased efficiency.
3 cl, 1 dwg, 1 tbl
FIELD: medicine, neurology, professional pathology.
SUBSTANCE: one should carry out either biochemical blood testing and electroencephalography or SMIL test, or ultrasound dopplerography of the main cranial arteries, rheoencephalography (REG) to detect the volume of cerebral circulation and hypercapnic loading and their digital values. Then it is necessary to calculate diagnostic coefficients F by the following formulas: Fb/e=6.3-0.16·a1+0.12·a2-1·a3+0.2·a4, or FSMIL=9.6+0.16·a5-0.11·a6-0.14·a7+0.07·a8, or Fhem=48.6-0.04·a9+0.15·a10+13.7·a11-0.02·a12+24.7·a13, where Fb/e -diagnostic coefficient for biochemical blood testings and EEG; FSMIL - diagnostic coefficient for SMIL test; Fhem - diagnostic coefficient for hemodynamic testing; 6.3; 9.6 and 48.6 - constants; a1 - the level of vitamin C in blood; a2 - δ-index by EEG; a3 - atherogenicity index; a4 - the level of α-proteides in blood; a5 - scale 3 value by SMIL; a6 - scale K value by SMIL; a7 - scale 5 value by SMIL; a8 - scale 7 value by SMIL; a9 - the level of volumetric cerebral circulation; a10 - the value of linear circulatory rate along total carotid artery, a11 - the value of resistive index along total carotid artery; a12 - the value for the tonicity of cerebral vessels at carrying out hypercapnic sampling by REG; a13 - the value for the intensity of cerebral circulation in frontal-mastoid deviation by REG. At F value being above the constant one should diagnose toxic encephalopathy, at F value being below the constant - discirculatory encephalopathy due to applying informative values.
EFFECT: higher accuracy of diagnostics.
6 ex, 1 tbl