Electroencephalogram preprocessing method and electroencephalogram preprocessing system in sleep state analysis

Abstract

The invention relates to an electroencephalogram preprocessing method and an electroencephalogram preprocessing system in sleep state analysis. The method comprises the following steps of: acquiring an original electroencephalogram generated during the sleep process of a user; performing median filtering for the original electroencephalogram according to a preset window length of median filtering, and filtering baseline drift; self-adaptively adjusting the window length of the median filtering according to the frequency and an amplitude of the filtered electroencephalogram until an limit value point of the frequency of the filtered electroencephalogram is disposed in a set frequency band and an absolute value of an average value of the amplitude of the electroencephalogram is minimum; and outputting the electroencephalogram with the baseline drift being filtered. According to the technical scheme, on the basis of median filtering the baseline drift and remaining useful information of the electroencephalogram, the frequency of the filtered signal can better meet the clinical requirement by self-adaptively adjusting the window length of the median filtering, and the average value is minimal.

Description

technical field [0001] The invention relates to the technical field of sleep aids, in particular to a method and system for preprocessing EEG signals in sleep state analysis. Background technique [0002] During sleep, the human body undergoes a process of self-relaxation and recovery, so good sleep is a basic condition for maintaining good health; however, due to work pressure, irregular life schedule and other reasons, some people have poor sleep quality , manifested as insomnia, waking up in the middle of the night, etc. [0003] There are already some devices on the market to help people fall asleep and improve the quality of sleep. For example, in a specific sleep state, manual intervention such as sound and light signals can be used to avoid waking up the user in a deep sleep state. For devices that assist sleep, in order to really achieve the purpose of improving the user's sleep quality, it is very important to correctly identify the user's sleep state. [0004] T...

AI Technical Summary

Problems solved by technology

However, the detrending / de-meaning method has no obvious effect on the processing of EEG signals; the frequency domain-based method, because the frequency of the baseline is usually very low and overlaps with the frequency band of the EEG, the processed signal is prone to appear Distortion, does not meet clinical needs

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