Depression state assessment method based on forehead minority lead electroencephalogram monitoring

Abstract

The invention discloses a depressive state assessment method based on forehead minority lead electroencephalogram monitoring, which specifically comprises the following steps of: collecting forehead two-lead electroencephalogram signals through wearable electroencephalogram equipment, preprocessing the signals, extracting a frontal lobe alpha wave band, calculating an asymmetric index based on approximate entropy, and calculating a depressive state of the forehead; and obtaining a depression degree evaluation result by using a support vector machine classification model. The wearable electroencephalogram device is composed of the flexible fabric electrode, the analog front-end chip, the Bluetooth Soc chip, the battery and the voltage stabilizing module, and comfortable and accurate electroencephalogram data collection can be achieved. The invention provides an alpha wave band asymmetric evaluation index, and the depression state of a user can be accurately detected.

Description

technical field [0001] The invention relates to a depression state evaluation method based on wearable electroencephalogram monitoring of a few leads of the forehead, and belongs to the technical field of electroencephalogram monitoring. Background technique [0002] Depression, also known as depressive disorder, is a common mental illness. Its symptoms include depression, loss of interest, etc., and in severe cases, it can lead to adverse consequences such as self-harm and suicide. According to the data from the Chinese Health Commission in 2019, the prevalence of depression in my country is on the rise. The prevalence of depression in December reached 2.1%, and the lifetime prevalence reached 3.4%. However, most of these patients have not received psychological services and treat. [0003] Electroencephalogram (EEG) is the overall reflection of the electrophysiological activity of brain neurons on the surface of the scalp or cerebral cortex. Traditional EEG monitoring equ...

AI Technical Summary

Problems solved by technology

Frontal lobe alpha asymmetry is a commonly used index in depression research, while conventional frontal lobe asymmetry studies mostly use linear methods, that is, to evaluate by calculating the alpha wave power spectrum of the signal at each pole, but linear features are difficult to reflect nonlinearity , Non-stationary EEG signal activity law

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