System for screening depressive disorder risk based on sleep electroencephalogram

Abstract

The invention discloses a system for screening a depressive disorder risk based on a sleep electroencephalogram and belongs to the field of screening of the depressive disorder risk. The system for screening the depressive disorder risk based on the sleep electroencephalogram comprises a universal electroencephalogram data collecting system, an electroencephalogram signal pre-processing system, a depressive disorder risk screening electroencephalogram system, an electroencephalogram display module and a result printing module, wherein the universal electroencephalogram data collecting system comprises an electroencephalogram pole sensor, a pre-amplifier, a 50Hz wave trap and a low-pass filter. Through the system, the individual user can wear the electroencephalogram sensor and the user can conveniently perform self-test; the system can be used for automatically detecting the electroencephalogram noise, removing ocular artifacts, reducing the interference between various noises, directly processing electroencephalogram data, skipping a sleep staging step, reducing the calculation error caused by the steps, such as, the sleep staging step, and increasing the accuracy of the depressive disorder risk assessment; the system is large in amount of collected information; the system can more fully utilize the data information of the sleep electroencephalogram and is high in selectivity in a characteristic selecting process.

Description

technical field [0001] The present invention relates to the field of depression risk screening, more specifically, to a depression risk screening system based on sleep EEG. Background technique [0002] At present, EEG-based depression risk screening and diagnosis are mainly based on sleep staging technology. Regarding sleep stages, there have been several classification methods. It is currently widely used in 1968. According to the waveform characteristics of EEG, EOG, and EMG signals in different sleep stages, Rechtschaffen and Kales divided adult sleep into six stages: awake stage, non-rapid eye movement stage (further divided into 1, 2, 3 , stage 4), and rapid eye movement stage, which is the staging criteria (such as Figure 9 ). Calculation of sleep latency, total sleep time, arousal index, sleep stage 1, sleep stage 2, sleep stage 3, sleep stage 4, REM percentage, REM sleep cycle number, REM sleep latency, REM sleep intensity , rapid eye movement sleep density and ...

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 depression risk screening based on sleep EEG system, 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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