Identification method, device and equipment of sleep stage events

Abstract

The invention discloses an identification method of sleep stage events. The identification method of the sleep stage events is used for interpreting sleep electroencephalogram and electro-oculogram mixed signals and includes the steps that the sleep electroencephalogram and electro-oculogram mixed signals are divided at preset time intervals to obtain a preset number of mixed signal fragments; allthe mixed signal fragments are adopted to obtain time domain waveforms corresponding to the mixed signal fragments respectively; preset rules in a rule library are adopted to process all the time domain waveforms to obtain processing results; if the processing results meet screening requirements corresponding to the preset rules, the mixed signal fragments corresponding to the processing resultsare marked as sleep stage event types corresponding to the preset rules. By the adoption of the identification method of the sleep stage events, huge differences caused by pure frequency band parameters on different users are effectively avoided, and the accuracy of interpreting the sleep electroencephalogram and electro-oculogram mixed signals is further improved. The invention further disclosesan identification device and equipment of the sleep stage events and a computer readable storage medium. The identification device and equipment of the sleep stage events and the computer readable storage medium all have the beneficial effects.

Description

technical field [0001] The present application relates to the field of sleep staging interpretation, in particular to a sleep staging event recognition method, and also to a sleep staging event recognition device, equipment, and computer-readable storage medium. Background technique [0002] The phenomenon of sleep disorders has become an important problem that endangers public health. Establishing a standard and systematic method to define the nature of sleep and related events is of great significance to the foundation of sleep medicine. The existing sleep stage interpretation method can be used to analyze the phenomenon of sleep disorders. The method collects and processes the epoch of the sleep EEG mixed signal segment, obtains the corresponding processing result, and realizes the analysis of the above-mentioned sleep disorder phenomenon according to the processing result. [0003] In order to ensure the accuracy of the sleep staging interpretation result, the result wi...

AI Technical Summary

Problems solved by technology

However, because sleep staging events mostly belong to pure frequency band parameters, such as α wave, β wave, etc., there will be great differences for different individual users, so there will be great deviations in the judgment results of different users, that is, the algorithm is widely used. The conversion rate is low, which further reduces the accuracy of sleep EEG mixed signal interpretation results.

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