Electroencephalogram processing apparatus and method and sleep monitoring worn device

Abstract

An embodiment of the invention discloses an electroencephalogram processing apparatus and method and a sleep monitoring worn device and relates to the technical field of electronics. The electroencephalogram processing apparatus and method and the sleep monitoring worn device can reduce the complexity of sleep stage classification. The electroencephalogram processing method includes the steps of obtaining electroencephalogram data to be processed; obtaining the predetermined number of segments from the electroencephalogram data to be processed, wherein the segments do not overlap; obtaining a maximum value and a minimum value of peak-to-peak values of every segment; normalizing the connection line between the maximum value and the minimum value of the peak-to-peak values of at least one of the segments to obtain an upper end point and a lower end point of the connection line; calculating a statistical characteristic value of an upper side band curve formed by the upper end points to obtain a box plot sequence; obtaining a sleep stage classification result according to the box plot sequence. The electroencephalogram processing apparatus and method and the sleep monitoring worn device are applicable to sleep analysis.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to an EEG processing device and method, and a sleep monitoring wearable device. Background technique [0002] Clinically, polysomnography is used for sleep monitoring. This method requires multiple electrodes or sensors to be placed on the body surface, and the signals collected by the electrodes or sensors are monitored throughout the night to obtain polysomnograms, and then proceed according to polysomnograms. Analysis of sleep time, sleep stages and sleep efficiency, and then have an objective understanding and evaluation of sleep quality. [0003] At present, sleep EEG is monitored by installing multiple electrodes on the scalp for EEG collection, and sleep EEG staging is performed according to the R&K guidelines (English: Rechtschaffen&Kales, Hertschaffen and Kales). The current mainstream methods for sleep staging include Wavelet transform method, artificial neural networ...

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Problems solved by technology

[0003] At present, sleep EEG is monitored by installing multiple electrodes on the scalp for EEG collection, and sleep EEG staging is performed according to the R&K guidelines (English: Rechtschaffen&Kales, Hertschaffen and Kales). The current mainstream methods for sleep staging include Wavelet transform method, artificial neural network method, approximate entropy acquisition, etc. These methods are more complicated in operation and need to accurately extract sleep EEG information, so it is difficult to realize sleep staging

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