Depression risk screening device based on electroencephalogram signals

Abstract

The invention discloses a depression risk screening device based on electroencephalogram signals, and belongs to the field of depression risk screening. The depression risk screening device comprises an electroencephalogram signal central processing device and a detection device, and further comprises a general electroencephalogram data acquisition system, an electroencephalogram signal preprocessing system, a depression risk screening electroencephalogram system, an electroencephalogram display module and a result printing module. The general electroencephalogram data acquisition system comprises an Fp1 electrode sensor, an FpZ electrode sensor, an Fp2 electrode sensor, pre-amplifiers, 50 Hz wave traps and low-pass filters. An individual user can wear the detection device and conduct detection by himself or herself conveniently; electroencephalogram noise is automatically detected, ocular artifacts are removed, and interference among various kinds of noise is reduced; electroencephalogram data is directly processed, the step of sleep staging is omitted, calculation errors generated in the steps of sleep staging and the like are reduced, and the accuracy of depression risk estimation is improved; the information acquisition amount is large, sleep electroencephalogram data information is fully utilized, and selectivity in feature selection is high.

Description

technical field [0001] The present invention relates to the field of depression risk screening devices, in particular to a depression risk screening device based on electroencephalogram signals. Background technique [0002] Depression is a common mental illness characterized by low mood and pessimism. When the symptoms are severe, suicidal behavior may occur. Based on the classification and analysis of the symptoms, background, diagnostic basis, tools and evaluation criteria of depression, this paper finds that not only the number of depression patients is large, but also the age of onset, scope and industry are gradually expanding, which brings great benefits to society and families. bring a heavy burden. However, there are relatively few personnel engaged in the diagnosis and evaluation of depression, and the diagnosis and evaluation rely on many subjective factors, which may easily lead to misdiagnosis and missed diagnosis. Therefore, there is an urgent need to improve...

AI Technical Summary

Problems solved by technology

[0008] In view of the problems existing in the prior art that it is inconvenient for individual users to use, interference factors interfere with detection, detection accuracy is low, and the amount of information collected by EEG is small, the purpose of the present invention is to provide a risk screening for depression based on EEG signals device, it can be convenient for individual users to use, reduce the interference between various noises, improve the detection accuracy, and collect a large amount of sleep EEG information

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