Automatic sleep staging establishing method and application thereof

Abstract

The invention provides an automatic sleep staging establishing method and application thereof. The automatic sleep staging establishing method comprises the following steps: acquiring a plurality of groups of PSG signals and artificial sleep marking information of the PSG signals; conducting pre-analysis: decomposing an original time sequence in the PSG signal into a group of similar intrinsic mode functions; combining the similar intrinsic mode functions to obtain m groups of time sequence sets; conducting multi-scale entropy analysis: performing entropy calculation on the m groups of time sequence sets by using n sampling scales to obtain an entropy matrix with m*n elements; establishing a correlation coefficient matrix between the consciousness level and the elements of the entropy matrix, and finding out a sampling scale and a filtering scale corresponding to the maximum positive correlation element or the maximum negative correlation element in the correlation coefficient matrix; sampling with coarse granularity scale; and according to the sampling scale and the filtering scale of the maximum positive correlation element or the maximum negative correlation element, calculating entropy values of the to-be-tested person in the sampling scale and the filtering scale, and judging the sleep state of the patient according to the entropy values.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for establishing automatic sleep staging and its application. Background technique [0002] We spend one-third of our lives sleeping, and sleep is a vital part of our lives. Sleep quality not only affects our day-to-day health, but also our economic productivity. Although the function of sleep is not fully understood, recent studies have found that contraction of glial cells and increased flushing of cerebrospinal fluid also play a key role in waste removal, in addition to the traditionally thought-enhanced memory enhancement. Research has also shown that sleep is not a uniform state and switching from one state to another is a highly nonlinear and unstable process. Sleep disorders have serious consequences, including reduced quality of life, complications, early death, etc., and have a huge impact on economic and social costs. These factors make the study of ...

AI Technical Summary

Problems solved by technology

However, manual grading is a time-consuming process, and due to similarities between different stages, different people may come up with inconsistent results

Therefore, assessment of sleep quality by polysomnography is a labor-intensive, time-consuming and error-prone process

In addition, as the number of sleep monitoring patients increases, it becomes increasingly difficult for limited sleep analysts to meet the increasing demand for sleep analysis

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