Physiological information-based depressive disorder evaluation system and evaluation method thereof

Abstract

The invention discloses a physiological information-based depressive disorder evaluation system, which comprises an information acquisition module, a signal processing module, a parameter calculating module, a characteristic selecting module, a machine learning module and a result output module. The invention further discloses a depressive disorder evaluation method based on multiple pieces of physiological information, which comprises the following steps: 1, processing one or more than one signal of an electrocardiosignal, a pulse wave signal, an electroencephalographic signal, a galvanic skin response signal, an electrogastrogram signal, an electromyographic signal, an electrooculogram signal, a polysomnogram signal and a temperature signal, and calculating signal parameters; 2, carrying out normalization on the obtained signal parameters, and carrying out characteristic selection on a parameter set consisting of the signal parameters subjected to the normalization, so as to obtain a characteristic parameter set; 3, carrying out machine learning on the characteristic parameter set, and establishing a depressive disorder evaluation mathematic model according to the relationship between the characteristic parameter set and the levels of the depressive disorder, and evaluating the levels of the depressive disorder. The physiological information-based depressive disorder evaluation system and method have the advantages that subjectivity of scale evaluation and the like can be avoided.

Description

technical field [0001] The invention relates to a depression assessment technology, in particular to a depression assessment system and assessment method based on physiological information. Background technique [0002] With the development of society, people are facing more and more pressure, and the incidence of depression is also increasing. According to the survey, there are about 90 million depression patients in China, accounting for 6.4% of the total population. There are about 350 million people with depression worldwide. People with depression generally present with low mood, loss of interest in things they were previously interested in, and reduced concentration. There are mild, moderate, and severe grades of depression, and those who are seriously ill have suicidal tendencies. The etiology of depression is complex rather than single. It is mainly composed of biological, psychological and social factors together to form a unified biological-psychological-social ...

AI Technical Summary

Problems solved by technology

In China, ICD-10 is mainly used to judge whether the subject suffers from depression through the performance of depression symptoms and the self-rating depression scale (SDS). Influenced by factors and clinical experience, it is not a valid method for objectively assessing depression

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