KR20160035320A - Methods of measuring the degree of subjective depression by using HF - Google Patents

Abstract

The present invention relates to a method to measure a subjective depression degree by using an HF. The method includes: a step (1) of receiving an electrocardiogram (ECG) signal for a preset time; a step (2) of converting the received signal into heart rate variability (HRV); a step (3) of measuring a high frequency (HF), which is a 0.15-4 Hz component obtained from the converted HRV through spectrum analysis; and a step (4) of determining a higher subjective depression degree as the measured HF value gets smaller than an average value by comparing the HF value to the average value in a comparison group. The present invention is capable of objectively evaluating a subjective depression degree of a general person, and using the same as an objective index for a large scale stress selection test or mood disorder high-risk group selection test.

Description

Methods for Measuring Depressive Symptoms using HF (HF)

The present invention relates to a method for measuring subjective depressive symptom using HF (High Frequency).

The stress screening test for the general population consists of depressive symptoms measured using the depressive symptom scale. Depression measures have been used to select mental disorders such as mood disorders and high-risk suicide groups as the basis for prevention and early intervention of mental disorders.

However, to date, depressive symptoms in the general population have been assessed based on the results of self-questionnaires without objective indicators.

The problems of the self-survey were problematic in the reliability of the questionnaire and the investigator. In the trust drawing, there is a problem that reliability is lowered due to reduced reporting of the question contents. Therefore, it was necessary to objectively evaluate the subjective depression symptom level of the general public. The present inventors

The present inventors have found that the degree of depression can be objectively evaluated using the HF index of the general public, and the present invention has been completed.

A first object of the present invention is to provide a method for measuring subjective depressive symptom using HF.

A second object of the present invention is to provide a method for measuring the stress level of a group using HF.

In order to achieve the above object,

(1) receiving an electrocardiogram (ECG) signal for a preset time;

(2) converting the received signal into heart rate variability (HRV);

(3) measuring HF (High Frequency), which is a 0.15-4 Hz component obtained through spectral analysis, from the converted heart beat variability (HRV); And

(4) comparing the measured HF value with the average value of the control group, and determining that the measured HF value is lower than the average value, the subjective depression is higher.

Another aspect of the present invention is

(1) a step of receiving an electrocardiogram (ECG) signal for a preset time individually after selecting a group,

(2) converting the received signal into heart rate variability (HRV);

(3) measuring HF (High Frequency), which is a 0.15-4 Hz component obtained through spectral analysis, from the converted heart beat variability (HRV); And

(4) comparing the measured HF mean value with the mean value of the control group, and determining that the group's stress is higher as the mean HF value of the group measured is less than the mean value of the control group ≪ / RTI >

The present invention can objectively evaluate the subjective depression symptom level of the general public and thus can be used as an objective indicator for a large-scale stress screening test or a mood disorder screening test.

Hereinafter, the present invention will be described by way of examples. However, it should be understood that the embodiments of the present invention are not limited to the scope of the present invention. Those skilled in the art will appreciate that various modifications, additions and substitutions are possible, without departing from the scope and spirit of the invention as disclosed in the accompanying claims. Therefore, the scope of the present invention should be construed as being covered by the claims of the present invention.

(Example 1) Measurement of subjective depressive symptoms

Subject

Using a structured diagnostic tool, MINI, 300 DSM-IV adults (male, 114 female, 186 female) aged 20-40 years without psychiatric disease were tested. The subjects were recruited through recruitment advertisements at companies, schools, and hospitals in Seoul and Gyeonggi Province. Through interviews and drug penetration tests, subjects were excluded from medicinal medication or medication that could affect the autonomic nervous system such as cardiovascular disease, hypertension, obesity, diabetes, and thyroid disease. Self-report version of the depressive symptom was measured using a self-assessment scale called the Quick Inventory of Depressive Symptoms (QIDS-SR16). The scale consists of a total of 16 items and finally evaluates nine depressive symptom areas that correspond to the diagnostic criteria of major depressive episodes. Each item has a score of 0-3 and the total score is 0-27.

This experimental protocol was approved by the Ethics Committee of SNU Hospital, and written consent was obtained from the participants before enrollment.

(2) Measurement and analysis of HRV indicators

end. Electrocardiogram measurement

The electrocardiogram was measured between 9:30 am and 11:30 am and between 1 pm and 4:30 pm. Caffeine and smoking were prohibited for 2 hours before ECG, fasting was allowed, and alcohol was not consumed for more than 12 hours. During electrocardiogram measurement, subjects were asked to minimize their movements, their eyes closed, and their breathing regularized in a comfortable lying position. A 5 minute tester was used to identify reliable breathing and ECG recording patterns, and the resting heart rate was measured for 10 minutes in a resting posture at full rest. The EEG signal was digitized at a sampling rate of 1000 Hz.

Five minutes of electrocardiogram data without artifacts were selected to remove non-stationary effects, and HRV values were calculated based on normal RR intervals.

I. HRV measurement index

The following nine HRV measurement indices were calculated from the electrocardiogram information of each subject.

① Mean RR: Average value of all RR intervals

SDNN: standard deviation of all RR intervals

③ RMSSD: The square root of the mean value of squared difference of consecutive RR interval values

④ pNN20: ratio of consecutive RR intervals over 20 ms in total

⑤ LF (low-frequency band): The 0.04-0.15 Hz component obtained from the spectrum analysis reflects all the sympathetic and parasympathetic elements.

⑥ LFnu (low-frequency normalized unit) (supplementary explanation required)

⑦ HF (high-frequency band): Reflects the parasympathetic modulation of the parasympathetic nervous system with the 0.15-4 Hz component obtained from spectrum analysis.

⑧ High-frequency normalized unit (HFnu)

(Supplementary explanation required)

⑨ LF / HF (ratio of LF to HF): Reflects the autonomic regulation system function.

⑩ SampEn (sample entropy): Calculates the complexity of a biological signal with a limited length. The smaller the value, the lower the complexity.

⑪ CSE20 (corrected shannon entropy): If the difference of consecutive RR intervals is less than 20 ms, 0 is calculated, and if it is more than 1, it is calculated using the pattern generated from the permutation of these binary methods. The smaller the value, the greater the regularity.

All. Statistical analysis of HRV measures

The differences of the above-mentioned 11 HRV measurement indices of the tester were statistically analyzed. Measurements with frequency characteristics were standardized through log transformations and then analyzed using the multivariate analysis of variance (MANOVA) to determine the differences between the 11 measures in the test and control groups.

la. Statistical analysis of HRV measures

The correlations between the total scores of depressive symptom evaluation scale and self-assessed HRV indices in 20-40 Korean adults were analyzed by spearman correlation method (Table 1).

There was a significant correlation between HF index and heart rate variability in both men and women. Spearman correlation coefficient = -0.248, p-value = 0.014 in men, Spearman correlation coefficient = -0.186 and p-value = 0.015 in women).

Male Female LF r -0.152 -0.094  p-value 0.137 0.224 Lfnu r -0.006 0.049  p-value 0.954 0.530 HF r -0.248 -0.186  p-value 0.014 0.015 HFnu r 0.006 -0.049  p-value 0.954 0.530 LF / HF r 0.009 0.015  p-value 0.930 0.845

As shown in Table 1, among the other HRV measures, HF was highly correlated with subjective depressive symptoms. Therefore, HF can be an effective index to measure the degree of subjective depressive symptoms.

Claims (2)

(1) receiving an electrocardiogram (ECG) signal for a preset time;
(2) converting the received signal into heart rate variability (HRV);
(3) measuring HF (High Frequency), which is a 0.15-4 Hz component obtained through spectral analysis, from the converted heart beat variability (HRV); And
(4) comparing the measured HF value with the average value of the control group, and determining that the measured HF value is lower than the average value, the subjective depression is higher. (1) receiving an Electrocardiogram (ECG) signal for a preset time individually after selecting a group;
(2) converting the received signal into heart rate variability (HRV);
(3) measuring HF (High Frequency), which is a 0.15-4 Hz component obtained through spectral analysis, from the converted heart beat variability (HRV); And
(4) comparing the measured HF mean value with the mean value of the control group, and determining that the group's stress is higher as the mean HF value of the group measured is less than the mean value of the control group Way.