KR102068401B1 - EEG, PPG based Depression assessment device - Google Patents

Abstract

The present invention is to provide a device for the simple and rapid evaluation of the depression risk group by selecting a non-invasive brain wave, pulse wave and the biological signal to objectively and quantitatively calculate the depression scale, a plurality of for measuring the brain wave, pulse wave A measurement unit having sensor electrodes having a channel of the amplification unit, an amplification unit amplifying the biological signal measured by the measurement unit, and the amplification test method (GDS) of the existing questionnaire method from the amplified EEG and pulse wave signals A calculation unit for calculating high biomarkers and a depression analysis unit that clearly calculates corresponding depression index indices by applying the correlation statistics of the existing GDS depression scores to the calculated EEG and pulse wave index values. And a depression scale evaluator which comprehensively evaluates the depression risk level by weighted combination average of the depression indexes. Characterized in that.

Description

EEG, PPG based Depression assessment device

The present invention relates to a device for quantitatively evaluating depression levels using non-invasive brainwave and pulse wave signals.

In particular, by using objective and direct EEG and pulse wave bioanalytical indicators that have high correlation with the GDS score, which is a representative depression scale test method widely used in public health centers, health centers and clinics, etc. Self-operating subjectivity, which was a chronic problem of the report-type questionnaire, was solved, which not only solved the problem of large error in the repetitive test, but also needed to sit comfortably for a few minutes in evaluating the depression scale. The present invention relates to an EEG and pulse wave-based depression scale evaluation device that enables simple, rapid measurement and more reproducible selection of depression risk groups.

As the modern society becomes more complex and aging, the incidence of depression is rapidly increasing. As a result, the prevention and management of depression is emerging as an economic and social problem that needs to be solved.

In particular, when depression is severe and severe, it is difficult to improve the condition. Therefore, it is inevitable to manage the rest of life with the support staff and the care of the family. However, in normal depressive or mild depressive phases, the linkage or treatment with prevention programs can lead to higher treatment rates, which can prevent the onset of depression and slow down further depression. Can significantly contribute to savings. Therefore, appropriate low cost non-invasive depression risk group screening technology and early prediction technology are essential skills for building a healthy future society.

Depression scale evaluation method currently proposed on the basis of EEG at the level of the existing patent disclosure or registered prior art, Republic of Korea Patent 10-1535352 (depression depth measurement method using the frontal lobe EEG), Republic of Korea Patent 10-1768332 (degree of depression As a method for evaluating the intensified depression of patients who have already been diagnosed with depression, as in the real-time analysis method and its system), it is mainly utilizing the left and right asymmetry index of the prefrontal brain waves, which has been reported for more than 10 years. Depression severity is assessed based on only the characteristics of the study, and the effectiveness of the screening for early screening and evaluation of depression risk groups, which have not been diagnosed with depression, is increasing.

On the other hand, the prior art of the evaluation of depression based on the pulse wave is disclosed in Korea Patent Publication No. 10-2017-0045204 (depression method and depression state determination device) using the LF and HF frequency band indicator of the heart rate interval rhythm. In the present invention, the slowest frequency of the heart rate variability shows a statistically significant correlation with the GDS depression scale while not overlapping with the preceding LF (= 0.04 to 0.15 Hz) and HF (= 0.15 to 0.4 Hz) frequency bands. The distinctive feature is the use of the VLF (= 0.0 ~ 0.04Hz) index.

The present invention has been made to solve the above problems, it characterized in that the non-invasive bioanalytical indicators that have a high correlation with the GDS score, which is a widely used questionnaire depression test method.

The GDS test is a representative questionnaire for depression. It consists of 30 questions that indicate depression and is a self-report test for depression. The lower the GDS score, the less depressive factors are considered normal or good.The higher the GDS score, the more severe, moderate and severe depression levels are evaluated. It is also widely used in branches and clinics.

In the present invention, by using the EEG and pulse wave analysis indicators that directly measure the biomarkers while showing a high correlation with the GDS score, while maintaining the accuracy of the existing evaluation and usefulness of risk group selection, distortion problem or repeated measurement due to subjective intervention of the subject The chronic problem of the survey method, which was difficult to continuously track due to the low reproducibility, was to provide a low cost non-invasive biosignal based depression scale evaluation device.

Features of the EEG, pulse wave-based depression scale evaluation device according to the present invention for achieving the above object is a measuring unit having a plurality of sensor electrodes for measuring the brain wave and pulse wave and the measurement unit An amplification unit for amplifying the generated biosignals, a calculation unit for numerically calculating EEG and pulse wave analysis indices that have a high correlation with the existing GDS test based on the amplified signals, and a GDS score from the calculated analysis indices. It includes an analysis unit that calculates the corresponding depression scale indices by applying the clinical statistical relations, and a depression scale evaluation unit that evaluates and displays the depression risk level by combining them.

As the EEG analysis indicators showing clinically high correlation with the existing GDS score calculated by the analytical index calculation unit, the eyes are beta rhythms for the GAMMA-P index and (2) theta which are the power of gamma rhythm in stable EEG. LN-B / T index, calculated on the natural logarithmic scale, and REL-ALPHA index, which is the percentage of alpha rhythm to the total of theta, alpha, beta, and gamma rhythm power, and (4) left and right brain waves Select the LR-CC index, which is the correlation coefficient of the waveform, and the PEAK-FREQ index, which is the frequency of the eigenrhythm peak point in the power spectrum, and the pulse wave analysis indexes as (6) the HRV, the time series of pulse wave intervals. ), The HRV-VLF indicator, which is the power of the VLF frequency band (0.0 ~ 0.04 Hz), and (7) the SDPTG-E / A indicator, which is the relative amplitude ratio of the a-wave and e-wave of the acceleration pulse wave (SDPTG), which is divided into two pulse waves, Configure to include.

The analytical unit that calculates depression index indexes from the EEG and pulse wave analysis indexes is good (0-5 points), normal (6-10 points), mild depression (11-15), The quantitative depression index index is clearly calculated based on the clinical statistics-based correlation trend relationship between the GDS scores of the moderate or higher (16 points or more) group and the corresponding EEG and pulse wave analysis indicators. Combination average is configured to include the depressive scale evaluation unit that comprehensively and quantitatively evaluates and displays the level of depression.

EEG, pulse wave-based depression scale evaluation device according to the present invention as described above has the following effects.

First, the low-risk depressive risk stage can be screened early and simply and quickly in a low-cost, non-invasive way, which can significantly reduce the quality of life and socioeconomic costs.

Secondly, screening of depression risk groups, which are widely used in domestic public health centers, health offices, and clinics, is a GDS questionnaire-based depression scale evaluation method. The lower and larger distortions make them inadequate for continuous follow-up and management purposes. Accordingly, the present invention reflects the existing GDS scores well and has high reproducibility of repeat measurement, and there is no distortion problem, and there is little room for subjective manipulation in measuring bio signals, so that the depression risk group can be continuously selected in a more objective and accurate manner. This has the effect of providing an opportunity for tracking and management.

1 is a block diagram showing the configuration of a brain wave, pulse wave-based depression scale evaluation apparatus according to an embodiment of the present invention
2 is a waveform (a) and power spectrum graph (b) of left and right brain waves when eyes are stable
3 is a graph of the relationship between Gamma-P index values and GDS-depression scores of EEG
4 is a graph of the relationship between the LN-B / T indicator value and the GDS-depression score of the EEG
5 is a graph of the relationship between the REL-ALPHA indicator value and the GDS-depression score of EEG
6 is a graph of the relationship between the LR-CC indicator value and the GDS-depression score of the EEG
7 is a graph of the relationship between PEAK-FREQ indicator value and GDS-depression score of EEG
8 is an acceleration pulse wave (SDPTG) and a heart rate pulse (PULSE) waveform graph extracted from a pulse wave (PPG).
FIG. 9 is a graph of heart rate variability (HRV) composed of heart rate pulse time series and relationship between HRV-VLF indicator values and GDS-depression scores (b).
Fig. 10 is a graph showing a, b, c, d, and e waves, which are components of an acceleration pulse wave shape, and a graph (b) between the SDPTG-E / A index value and the GDS-depression score;

Other objects, features and advantages of the present invention will become apparent from the following detailed description of embodiments taken in conjunction with the accompanying drawings.

Referring to the accompanying drawings, a preferred embodiment of the EEG, pulse wave-based depression scale evaluation apparatus according to the present invention will be described. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. It is provided to inform you.

1 is a block diagram showing the configuration of a brain wave, pulse wave-based depression scale evaluation apparatus according to an embodiment of the present invention.

As shown in FIG. 1, a measuring unit S100 including sensor electrodes having a plurality of channels for measuring brain waves and pulse waves, an amplifying unit S200 for amplifying a biosignal measured by the measuring unit, and the amplification Depression corresponding to the calculation unit (S300) for numerically calculating the EEG and pulse wave analysis indexes that are highly correlated with the existing GDS test based on the received signals and the clinical statistical relationship with the GDS score from the calculated analysis indicators It includes an analysis unit (S400) for calculating the scale index and the depression scale evaluation unit (S500) for assessing and displaying the depression risk level by combining them.

Preferably, the EEG, pulse wave analysis index calculation unit (S300), the eye that shows a high correlation with the existing GDS test method is characterized in that consisting of the EEG and pulse wave analysis indicators at rest.

First, FIG. 2 (a) shows left / right brainwave waveforms measured at eye stability, and FIG. 2 (b) shows power spectrum graphs showing power distribution for each frequency by Fourier transforming the brainwave waveform. Normally, the power spectrum of EEG is delta (0 ~ 3.99Hz), theta (4 ~ 7.99Hz), alpha (8 ~ 12.99Hz), beta (13 ~ 29.99Hz), gamma (30 ~ 50Hz) ) Are broadly classified into rhythm bands.

Preferably, the EEG and pulse wave analysis index calculation unit (S300) has a relative activation ratio of (1) GAMMA-P indicator and (2) beta rhythm for theta rhythm, which can be easily calculated from the EEG waveform and power spectrum distribution. Universal correlation between LN-B / T indices calculated on natural logarithmic scale, (3) REL-ALPHA indices, which is the percentage of alpha rhythm to the sum of theta, alpha, beta, and gamma rhythm powers, and (4) left and right EEG waveforms. The LR-CC index, which is the correlation coefficient (Pearson coefficient), and the PEAK-FREQ index, which is the frequency of the eigenrhythm peak point in the power spectrum, are included.

FIG. 8 illustrates an acceleration pulse wave (SDPTG) and a heart rate pulse (PULSE) waveform graph extracted from the pulse wave (PPG). Preferably, the pulse wave analysis index calculated by the analysis indicator calculation unit S300 is shown in FIGS. The HRV-VLF index, which is the power of the VLF frequency band (0.0 ~ 0.04Hz) in the HRV waveform composed of the continuous time series by extracting the heartbeat pulse interval and the pulse wave twice differently as shown in FIG. The SDPTG-E / A index, which is a relative amplitude ratio of the a-wave and the e-wave among the a, b, c, d, and e waves, which is a component of the acceleration pulse wave (SDPTG), is included.

Preferably, the analysis unit (S400) for calculating the depression indexes from the EEG, pulse wave analysis indexes for the existing 500 subjects obtained good (0-5 points), normal (6-10 points), mild depression ( 11 ~ 15), the depression index is clearly calculated by applying the clinical statistics-based trend relationship between the GDS scores for each group of moderate abnormality (more than 16 points) and the EEG and pulse wave analysis index values.

Preferably, the GAMMA-P index value (= y) of the EEG in the analysis unit (S400) is an index value (y = 0.0634x + 0.9668 based on a clinical statistics-based correlation trend expression with the GDS depression score (= x) of FIG. 3. Depression scale index (= x) corresponding to = y) is characterized in that it is calculated quantitatively.

Preferably, the LN-B / T index value (= y) of the EEG in the analysis unit (S400) is based on the clinical statistics-based correlation trend equation y = -0.0943x + 0.0097 with the GDS depression score (= x) of FIG. 4. Depression scale index (= x) corresponding to the index value (= y) is characterized in that it is calculated quantitatively.

Preferably, the REL-ALPHA index value (= y) of the EEG in the analysis unit (S400) is an index value based on y = -0.9733x + 28.328, which is a clinical statistical-based correlation trend expression with the GDS depression score (= x) of FIG. 5. Depression scale index (= x) corresponding to (= y) is characterized in that it is calculated quantitatively.

Preferably, the LR-CC index value (= y) of the EEG in the analysis unit (S400) is an index value based on the y = -0.0189x + 0.7996, which is a clinical statistical-based correlation trend expression with the GDS depression score (= x) of FIG. 6. Depression scale index (= x) corresponding to (= y) is characterized in that it is calculated quantitatively.

Preferably, the PEAK-FREQ index value (= y) of the EEG in the analysis unit (S400) is an index value based on y = -0.238x + 9.4932, which is a clinical statistical-based correlation trend expression with the GDS depression score (= x) of FIG. 7. Depression scale index (= x) corresponding to (= y) is characterized in that it is calculated quantitatively.

Preferably, the HRV-VLF index value (= y) of the pulse wave in the analysis unit (S400) is y = -0.078x +, which is a clinical statistical based correlation trend expression with the GDS depression score (= x) as shown in FIG. Based on 5.7497, the depression index (= x) corresponding to the index value (= y) is quantitatively calculated.

Preferably, the SDPTG-E / A index value (= y) of the pulse wave in the analysis unit (S400) is y = -0.007, which is a clinical statistical based correlation trend expression with the GDS depression score (= x) as shown in FIG. Depression scale index (= x) corresponding to the indicator value (= y) based on x + 0.1538 is characterized in that it is calculated quantitatively.

Preferably, the depression scale evaluation unit (S500) is characterized by displaying a quantitatively comprehensive evaluation of the depression scale by combining the average of each depression index calculated based on the clinical statistical relations in the depression scale analysis unit (S400).

Although the technical spirit of the present invention described above has been described in detail in a preferred embodiment, it should be noted that the above-described embodiment is for the purpose of description and not of limitation. In addition, those skilled in the art will understand that various embodiments are possible within the scope of the technical idea of the present invention. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

Claims (10)

delete delete delete A measuring unit having sensor electrodes having a plurality of channels for measuring brain waves, an amplifying unit for amplifying a biological signal measured by the measuring unit,
A calculation unit for numerically calculating a GAMMA-P index (= y), which is a gamma power based on the amplified EEG;
Depression index (= x) was applied by applying y = 0.0634x + 0.9668 (x coefficient error range + -0.015, constant term error range + -0.5 effective), which is the correlation trend equation (Fig. 3) with the GDS score from the calculated index. Calculation department to calculate
If the depression index is 11 or more points EEG, pulse wave-based depression scale evaluation device comprising a depression scale evaluation unit to display as a risk group.
A measuring unit having sensor electrodes having a plurality of channels for measuring brain waves, an amplifying unit for amplifying a biological signal measured by the measuring unit,
A calculation unit for numerically calculating the LN-B / T index (= y), which calculates the relative activation ratio of the beta rhythm to theta rhythm on a natural logarithmic scale based on the amplified EEG;
Depression index (= x) by applying y = -0.0943x + 0.0097 (x coefficient error range + -0.01, constant term error range + -0.005 valid), which is a correlation trend equation (Fig. 4) with the GDS score from the calculated index. An analysis unit for calculating
If the depression index is 11 or more points EEG, pulse wave-based depression scale evaluation device comprising a depression scale evaluation unit to display as a risk group.
A measuring unit having sensor electrodes having a plurality of channels for measuring brain waves, an amplifying unit for amplifying a biological signal measured by the measuring unit,
A calculation unit for numerically calculating the REL-ALPHA index (= y), which is a percentage of the alpha rhythm to the sum of theta, alpha, beta, and gamma rhythm powers based on the amplified EEG;
Depression index (= x) by applying y = -0.9733x + 28.328 (x coefficient error range + -0.1, constant term error range + -2.5 effective), which is the correlation trend equation (Fig. 5) with the GDS score from the calculated index. An analysis unit for calculating
If the depression index is 11 or more points EEG, pulse wave-based depression scale evaluation device comprising a depression scale evaluation unit to display as a risk group.
A measuring unit having sensor electrodes having a plurality of channels for measuring brain waves, an amplifying unit for amplifying a biological signal measured by the measuring unit,
A calculation unit for numerically calculating the LR-CC index (= y), which is a correlation coefficient between left and right EEG waveforms, based on the amplified EEG;
Depression index (= x) by applying y = -0.0189x + 0.7996 (x coefficient error range + -0.01, constant term error range + -0.3 effective), which is the correlation trend equation (Fig. 6) with the GDS score from the calculated index. An analysis unit for calculating
If the depression index is 11 or more points EEG, pulse wave-based depression scale evaluation device comprising a depression scale evaluation unit to display as a risk group.
A measuring unit having sensor electrodes having a plurality of channels for measuring brain waves, an amplifying unit for amplifying a biological signal measured by the measuring unit,
A calculator for numerically calculating the PEAK-FREQ index (= y), which is the frequency of the eigenrhythm peak point in the power spectrum, based on the amplified EEG;
Depression index (= x) by applying y = -0.238x + 9.4932 (x coefficient error range + -0.1, constant term error range + -1.5 effective), which is the correlation trend equation (Fig. 7) with the GDS score from the calculated index. An analysis unit for calculating
If the depression index is 11 or more points EEG, pulse wave-based depression scale evaluation apparatus comprising a depression scale evaluation unit to display as a risk group.
A measuring unit having a sensor electrode for measuring a pulse wave, an amplifying unit for amplifying a biological signal measured by the measuring unit,
A calculation unit for numerically calculating the HRV-VLF index (= y), which is the power of the VLF frequency band (0.0 to 0.04 Hz), in the HRV waveform based on the amplified pulse wave;
Depression index (= x) by applying y = -0.078x + 5.7497 (x coefficient error range + -0.01, constant term error range + -1.2 effective), which is the correlation trend equation (Fig. 9) with the GDS score from the calculated index. An analysis unit for calculating
If the depression index is 11 or more points EEG, pulse wave-based depression scale evaluation device comprising a depression scale evaluation unit to display as a risk group.
A measuring unit having a sensor electrode for measuring a pulse wave, an amplifying unit for amplifying a biological signal measured by the measuring unit,
A calculation unit for numerically calculating the SDPTG-E / A index (= y), which is an amplitude ratio of the e-wave to the a-wave of the acceleration pulse wave (SDPTG), based on the amplified pulse wave;
Depression index (= x) by applying y = -0.007x + 0.1538 (x coefficient error range + -0.001, constant term error range + -0.1 effective), which is the correlation trend equation (Fig. 10) with the GDS score from the calculated index. An analysis unit for calculating
If the depression index is 11 or more points EEG, pulse wave-based depression scale evaluation device comprising a depression scale evaluation unit to display as a risk group.

Images