A device for removing oculograph artifacts in sleep state analysis

Abstract

A device for removing an electrooculograph artifact in sleep condition analysis, comprising: an electroencephalograph electrode (M), an electrooculograph electrode (ROC, LOC), a reference electrode (R, L), an analog-to-digital converter connected to the electrodes, and a processor connected via the analog-to-digital converter and via a filter circuit. The electroencephalograph electrode (M) is used to measure a raw electroencephalograph signal. The electrooculograph electrode (ROC, LOC) is used for collecting an electrooculograph signal. The analog-to-digital converter is used for analog-to-digital conversion. The filter circuit is used to apply a low-pass filter before inputting into the processor. The processor is used to perform, on every frame of a filtered electroencephalograph signal, empirical mode decomposition, decompose the signal into a plurality of eigenmode functions, and calculate a correlation coefficient between each of the eigenmode functions and an electrooculograph signal of the same period. The processor searches for and deletes an eigenmode function with a correlation coefficient larger than a preset threshold and the eigenmode function with the largest correlation coefficient, and uses the remaining eigenmode functions to rebuild an electroencephalograph signal for each frame. The device for removing the electrooculograph artifact in sleep condition analysis can reduce the influence of an electrooculograph artifact process on an electroencephalograph signal waveform so as to preserve the majority of detailed information of a raw signal.

Description

technical field [0001] The invention relates to the technical field of sleep aids, in particular to a device for removing oculoelectric artifacts 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] Polys...

AI Technical Summary

Problems solved by technology

The waveform of the EEG signal processed by the traditional method often changes, which affects the subsequent analysis of the EEG signal.

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