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Method of determining dispersion of amplitude-frequency characteristics of brain alpha-rhythm in case of mental illnesses. RU patent 2506044.

Method of determining dispersion of amplitude-frequency characteristics of brain alpha-rhythm in case of mental illnesses. RU patent 2506044.
IPC classes for russian patent Method of determining dispersion of amplitude-frequency characteristics of brain alpha-rhythm in case of mental illnesses. RU patent 2506044. (RU 2506044):

A61B5/0476 -
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FIELD: medicine.

SUBSTANCE: invention relates to field of medicine, namely to neurophysiological methods of examination. Registration of EEG is carried out, total power of modal fluctuation in alpha-rhythm range in one of leads is determined and FRα1 index is calculated as ration of said power to total power of all alpha range fluctuations in the same lead. Value of the sum of power of fluctuations, located ±0.5 Hz on the right and on the left from maximal power value, including maximal value, is determined, and FRα2 index is calculated as ratio of the obtained sum of power to total power of all fluctuations of alpha-range in the same lead. Intensity of brain affection is determined by comparison of obtained FRα1 and FRα2 values with standard values.

EFFECT: method makes it possible to determined quantitative ratio of alpha-rhythm, characteristic of separate nosologic units in psychiatry.

2 tbl, 1 dwg

 

The invention relates to the medical field of application, in particular to the neurophysiological research methods.

Known method for determining the spectral radiation power of alpha-rhythm as its amplitude-frequency characteristics in conducting brain. A mathematical basis of the amplitude-frequency analysis is the Fourier transform takes many forms depending on the type of analyzed signals. In common is the assumption that the studied processes (signals) consist of a certain number of (possibly infinite) sinusoidal and/or components (harmonics) consistently increasing number of frequencies. Fourier transform decomposes the signal on a number of harmonic components without any loss of information (if arithmetically add up all the harmonics, it will turn again the original signal). Each harmonic is determined by three parameters: amplitude of the initial phase and frequency. The dependence of the amplitude and phase of the harmonics of the frequencies is called the spectrum. The power spectrum P(i)=f(f (i ) is the amplitude spectrum of the squared P(i)=A (i) 2 . In practice, spectral analysis of EEG using inline in computer programs. Search the power spectrum of a particular frequency radiation can be printed in graphical or tabular form ( CENTURIES Inverse problem of EEG and clinical electroencephalography. Taganrog: the Physician, 2000; E.A. Clinical electroencephalography. M: 1991; Max J. technique of signal processing in technical measurements. M: Mir, 1983; Carried R., Enochson HP Applied time series analysis. M: Mir, 1982. Vol. 1, 2; Rusyns B.C., O.M., Boldyreva G.N., Wacker EM brain Biopotentials. Mathematical analysis. M: Medicine, 1987).

Disadvantages of this method are:

1) in the analysis of power spectral amplitude of the harmonics are measured in the mV registered on the scalp, skull voltage and translated in the mV squared, not understood by many researchers;

2) it is difficult to analyze the nonlinear relationship (in this case, the quadratic);

3) capacity of the alpha-rhythm shows no direct correlation with pathological deviations and nosological forms of diseases of the brain;

4) found in pathology, visually identified on schedule, «the splitting of the spectrum of alpha-rhythm encountered in various mental illnesses, only describes qualitatively (, , )that makes it difficult to identify the correlation between the severity of the specified phenomenon and a clinical picture (Ivanov .Б. Applied computer electroencephalography. AOZT «», 2000).

The above way of change of alpha rhythm with mental illness does not represent the full picture of a patient's illness, is qualitative and nonspecific, not applicable for the purposes of the nosological diagnosis of brain diseases, and may not accurately diagnose the degree of severity of the pathological process.

Method of determining the dispersion of amplitude-frequency characteristics of alpha-rhythm of the brain in mental illness» has no analogues.

The objective of the invention is to identify quantitative changes of a spectrum of alpha-rhythm pathognomonic organic lesions of the brain, to establish their quantitative ratio, typical for particular nosological units in psychiatry.

The problem is solved by the method of determination of relative values, which are a measure of dispersion of amplitude-frequency characteristics of alpha rhythm, reflecting the structural content of the spectrum of its power in a particular patient, showing not its individual features and changes specific to certain pathological conditions. Using correlation analysis of the quantitative values, and develop standard indicators.

The essence of the proposed method consists in the following.

Is the standard shooting background EEG on computer in 19 monopolar leads according to the international system of electrodes «10-20»when the value of the impedance 10 kOhm and less bandwidth of 0.3-50 Hz with a sampling rate of 256 Hz. As a reference used ear electrodes. Registration of EEG is held with the position of the subject, sitting in a chair in the state of relaxed wakefulness. Era EEG length of 20 seconds are a fast Fourier transformation using Windows Hannah in the band 3-30 Hz (step 0.25 Hz). The forms of analysis are formed by means of specialized program WinEEG prepared in accordance with accepted standards of signal analysis and represent graphs or tables EEG spectral power at each lead with a step of 0.25 Hz.

Allocated plot duration of 20-25 seconds. This sector is determined by the power spectrum in the whole range of radiation. On the standard chart (figure 1) is determined by modal (maximum) capacity of the alpha-rhythm (MoE). The computation of the power ratio of the modal (most pronounced) oscillations of alpha rhythm in any lead of the EEG to its total capacity in the same lead (α 1 ). To define existing violations calculated the ratio of total capacity of the alpha-rhythm in a range of 0.5 Hz from the modal (most pronounced) fluctuations to its total capacity (α 2 ). With this purpose in calculations (α 1 ) from the table capacities spectra rhythms exported from the program EEG, which is a rectangular matrix, where the vertical axis names of standard EEG, and horizontal frequency from 0 up to 30 Hz with 0.25 Hz, determined by the power of the modal (maximum capacity) fluctuations in any standard lead (Mo) in the range of alpha rhythm (7-14 Hz). The same procedure can be performed on the chart of the power spectra of rhythms, provided by the standard programme of the EEG. Then determined the total capacity of the alpha-rhythm (M) by adding all the facilities in the lead in the alpha range (standard program EEG automatically provides this value in the summary table capacities spectra). (α 1 ) is calculated by the formula: Mo(1)/M x 100%.

To calculate (α 2 ) it is necessary in the table capacities or graph capacity to allocate values of powers, which are to the right and to the left of the modal value of 0.5 Hz (ie 2 to the right and to the left of the modal). All of these values, including modal, are summarized. The resulting value is divided Yes total power in this abduction by the formula:

Where Mo - modal power of alpha rhythm (MACs 2 ),

M - gross power of the alpha rhythm.

The values obtained are compared with the target (table 1), obtained by statistical correlated analysis of clinical material, and the conclusion is made about the severity of the pathological process.

Table 2 - the result of the analysis of clinical data produced by this method allows to clearly distinguish between the brain lesions.

The invention allows to introduce a quantitative parameter of the power spectrum of the alpha rhythm, reflecting a degree of brain lesions. Determination of the degree of changes α 1 (%) and α 2 (%) allows to differentiate normal and pathologically altered condition of the brain, to assume the nosology of these changes and observe them in dynamics.

This method was applied in Б №1. M. Litvinova (Tver). In the process of studying 2235 electroencephalograms patients and 115 healthy people (control) were obtained the data presented in table 2, confirming the proposed method of determining the dispersion of amplitude-frequency characteristics of alpha-rhythm with mental illnesses.

Thus, there is a statistically significant correlation between the proposed indicators α 1 and α 2 and organic diseases of the brain.

Table 1

Values α 1 (%)

Values α 2 (%)

The degree of organic brain

More than 24

More than 67

Normal EEG

18-21 61-66 Easy 15-18 51-60 Moderate 5-14 15-50

Considerable

Table 2

The degree of dispersion of the alpha rhythm

α 1

α 2 ,

left hemisphere

right hemisphere

left hemisphere

right hemisphere

Control (Pitch m, %) p<0.01

Patients (Pitch m, %) p<0.01

Control (Pitch m, %) p<0.01

Patients (Pitch m, %) p<0.01

Control (Pitch m, %) p<0.01

Patients (Pitch m, %) p<0.01

Control (Pitch m, %) p<0.01

Patients (Pitch m, %) p<0.01

Minimum

29 to -1%

27±0.3% 29±1.1% 27±0.3% 75±1.4%

75 ą0.4%

75±1.7% 75±0.5% n,% 60(52%) 171(8%) 63(55%) 405(18%) 69(60%) 387(17%) 76(75%) 637(29%) Easy

21 ą0.4%

21±0.1%

21 ą0.4%

21±0.1%

63 ą0.4%

64±0.1% 64±0.5% 63±0.1% n,% 49(43%) 679(30%) 42(37%) 694(31%) 29(25%) 579(26%) 32(28%) 515(23%)

Mild-Naya

17±0.2% 17±0.1% 17±0.2% 17±0.1% 56±0.8% 56±0.2%

56 ą0.4%

56±0.2% n,% 6(5%) 679(30%) 9(8%) 561(25%) 13(11%) 437(20%) 5(4%) 388(17%)

Significant insignificant

0±0% 12±0.1% 13±0% 12±0.1% 48±0.7% 39±0.5% 45±1.3%

38 ą0.6%

n,% (0%) 606(27%) 1(1%) 575(26%) 4(3%) 832(37%) 2(2%) 695(31%) Just 25±1.4% 18±0.3% 25±1.6%

19 ą0.4%

69±2.7%

55 to -1%

71±2.5% 58±1.1% n,%

115 (100%)

2235 (100%)

115 (100%)

2235 (100%)

115 (100%)

2235 (100%)

115 (100%)

2235 (100%)

Method of determining the dispersion of amplitude-frequency characteristics of alpha-rhythm of the brain in mental illness, including the identification of amplitude-frequency characteristics of alpha-rhythm on the basis of the range of its power, wherein when recording standard EEG determine the total power modal fluctuations in the range of alpha rhythm in one of the leads and calculate the indicator α 1 , as the ratio of this capacity to the total capacity of all fluctuations alpha-range and the same assignment, then determine the value of the amount of power fluctuations, located on the right and to the left of the maximum power value at approximately 0.5 Hz, including the maximum value, and calculate the indicator α 2 , as the ratio of the amount received power to the total capacity of all fluctuations alpha-band in the same lead and severity of brain damage is determined by comparison of the received values α 1 and α 2 with the normative values.

 

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