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Algorithm for automatic sleep staging

A sleep and algorithm technology, applied in the field of sleep algorithms, can solve problems such as stability, generality, poor practicability, etc., and achieve the effect of high accuracy, strong adaptability, and enhanced interpretation.

Active Publication Date: 2021-10-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide an algorithm for automatic sleep staging, which solves the problems of poor stability, versatility, universality and practicability of the existing automatic sleep staging algorithm

Method used

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  • Algorithm for automatic sleep staging
  • Algorithm for automatic sleep staging
  • Algorithm for automatic sleep staging

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specific Embodiment 1

[0035] figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 , Image 6 , Figure 7 , Figure 8 , Figure 9 , Figure 10 , Figure 11 , Figure 12 shows an algorithm for automatic sleep staging, such as figure 1 As shown, the overall idea of ​​the present invention gradually refines the construction of an automatic sleep staging algorithm model according to the three major processes of data set production, feature engineering and model layering.

[0036] like figure 2 As shown, the dataset creation process is divided into three sub-parts: data acquisition, data preprocessing, and overnight data segmentation. First, a data set will be created from physiological data collected during sleep, including conventional physiological signals such as electroencephalogram (Eletroencephalogram, EEG), electrooculogram (EOG) and mandibular electromyography (EMG). C={C 1 , C 2 ,...,C N}, C represents the data set of all people, and N represents the number of people (or the...

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Abstract

The invention discloses an algorithm for automatic sleep staging, comprising the following steps: a. the feature layer uses a multi-layer perceptron to extract abstract features and combines traditional manual features based on expert experience as information representation of sleep; b. then uses the machine model layer to use The bidirectional gated recurrent unit Bi-GRU is used as the network model; c. Finally, the conditional random field CRF method is used as the time continuity correction in the correction layer. Solve the problems of poor stability, versatility, universality and practicability of the existing sleep automatic staging algorithm.

Description

technical field [0001] The invention relates to the field of sleep algorithms, in particular to an algorithm for automatic sleep staging. Background technique [0002] Using physiological information during human sleep, according to international sleep medical standards, different sleep periods can be divided into WAKE, REM, N1, N2 and N3 periods, a total of five normal categories. [0003] In recent years, the method of using computer equipment and programs to monitor people's sleep state and automatically classify it has been widely used. Despite the rapid development of modern electronic information technology, machine learning theory, and biomedical engineering, there is still no internationally recognized standard for automatic sleep staging methods using machine learning theory in scientific research, medical applications, and consumer electronics. The main reasons include that the basic mechanism theory of human sleep is not thorough and perfect, clinicians and resea...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/00A61B5/369A61B5/398A61B5/389G06K9/62G06N3/04
CPCA61B5/4809A61B5/4812A61B5/4815A61B5/7267A61B5/7203A61B5/725G06N3/044G06F18/241G06F18/214
Inventor 刘铁军王林吕彬范宇熊宋晓宇郜东瑞尧德中
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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