An evaluation system and evaluation method for quantifying the degree of depression

Abstract

The invention discloses a quantitative assessment system for depression degree, which comprises: an integrated detection device for electrocardiogram and pulse wave, a data transmission device, and a data processing platform. The invention also discloses a method for quantifying, evaluating and diagnosing the degree of depression, which includes the following steps: step 1, obtaining the physiological information of the human body in different states through a multi-state comprehensive test platform; HRV characteristic parameters; step 3, evaluating the balance state of sympathetic and vagus nerve functions in the autonomic nervous system; step 4, establishing a quantitative evaluation model of depression degree to realize rapid and objective evaluation of the degree of depression of the subject. The invention belongs to the technical field of computer-aided diagnosis, realizes the quantitative evaluation of depression degree, fills the gap in the technical field of depression examination, is simple and easy to implement, saves medical resources, and has good clinical practicability.

Description

technical field [0001] The invention relates to a computer-aided diagnosis technology, in particular to an evaluation system and an evaluation method for quantifying the degree of depression. Background technique [0002] Depression (depressive disorder) is a group of mood disorders or affective disorders caused by various reasons with depression as the main symptom, with low emotion, slow thinking, and decreased speech and action, and slowness is the typical symptom. 10-15% of patients with depression face the danger of suicide, causing heavy burdens to families and society. A joint study by the World Health Organization, the World Bank and Harvard University shows that depression has become the second largest disease burden in China. Depression in our country is a problem worthy of great attention. The diagnosis of depression is mainly based on the comprehensive consideration of medical history, mental symptom examination, and the law of disease progression. Clinical ev...

AI Technical Summary

Problems solved by technology

[0003] 1. The scoring results of the scale cannot accurately reflect the psychological state of the tester, and there may be cases of subjective concealment of the condition;

[0004] 2. The score of a single rating scale cannot be used to diagnose depression;

[0005] 3. The diagnosis results of psychologists will be affected by their own subjective factors and actual clinical experience;

[0006] 4. Scale testing and psychological consultation are inefficient and consume a lot of resources

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