Algorithm for automatically staging sleep

A sleep and algorithm technology, applied in the field of sleep algorithms, can solve the problems of stability, generality, poor practicability, etc., and achieve the effect of high accuracy, strong adaptability, and amplifying expression ability.

Active Publication Date: 2020-09-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF10 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Algorithm for automatically staging sleep
  • Algorithm for automatically staging sleep
  • Algorithm for automatically staging sleep

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment 1

[0035] figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 , Figure 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] Such as 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 structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an automatic sleep staging algorithm. The algorithm comprises the following steps: a, in a feature layer, abstract features are extracted through a multi-layer perceptron, andthe abstract features are combined with traditional manual features based on expert experience to serve as information representation of sleep; b, then, in a machine model layer, a bi-directional gating cycle unit Bi-GRU is used as a network model; and c, finally, a conditional random field (CRF) method is used as time continuity correction in a correction layer. The invention solves problem thatan existing sleep automatic staging algorithm is poor in stability, universality, universality and practicability is solved.

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/0476A61B5/0488A61B5/0496G06K9/62G06N3/04
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap