Three-channel sleep apnea and hypopnea syndrome recognition device

A technology for sleep apnea and identification device, which is applied in medical science, diagnosis, diagnosis recording/measurement, etc., and can solve the problems that detection technology is easily interfered by external environmental factors, unstable, and the detection quality fluctuates greatly.

Active Publication Date: 2021-07-30
TIANJIN UNIV +1
View PDF15 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Relatively speaking, the snoring-based detection technology is susceptible to interference fro

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
  • Three-channel sleep apnea and hypopnea syndrome recognition device
  • Three-channel sleep apnea and hypopnea syndrome recognition device
  • Three-channel sleep apnea and hypopnea syndrome recognition device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific implementations.

[0038] The patent of the present invention mainly uses the subject's C4 / A1 single-channel EEG signal to identify the sleep state, and then screens out the chest and abdomen displacement signals and mouth and nose airflow signals during the sleep period, and inputs them into the long-term and short-term memory-convolution (LSTM-CNN) The neural network module identifies SAHS, and the information only depends on the physiological state of the subject itself, which is less affected by the outside world, has good stability, and the detection quality is guaranteed. Specifically include:

[0039] 1. EEG signal preprocessing module

[0040] In the embodiment of the present invention, the data are collected by Philips Alice5 polysomnography and Anbolan N7000...

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 provides a three-channel sleep apnea and hypopnea syndrome recognition device based on LSTM-CNN, and the device is characterized in that the device comprises an electroencephalogram signal preprocessing module, an electroencephalogram signal feature extraction module, a sleep state recognition module used for carrying out binary classification on a sleep stage and a non-sleep stage, a thoracic and abdominal displacement signal and mouth and nose airflow signal preprocessing module, an LSTM-CNN neural network module used for inputting a mixed data segment formed by a preprocessed thoracic and abdominal displacement signal and a mouth and nose airflow signal into an LSTM-CNN neural network, conducting training by adopting a ten-fold cross validation method, judging the specific classification of the input segment and outputting a prediction result, and an SAHS state identification module.

Description

technical field [0001] The invention relates to SAHS recognition technology, and specifically designs a device for recognizing SAHS by using LSTM-CNN neural network through three-channel physiological monitoring information of C4 / A1 single-channel EEG, chest and abdomen displacement and mouth and nose airflow. Background technique [0002] Sleep apnea and hypopnea syndrome (Sleep Apnea Hypopnea Syndrome, SAHS) is a common attack during sleep, not easy to be noticed chronic sleep disorder disease. The main symptom of the disease is severe snoring accompanied by repeated shallow breathing or apnea due to obstructed breathing during night sleep. The disease can cause excessive daytime sleepiness, inattention, and reduce the quality of life of patients in mild cases; in severe cases, it can cause various complications such as high blood pressure, diabetes, and stroke, which seriously threaten the lives and health of patients. [0003] Polysomnography (PSG) is the gold standard ...

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
IPC IPC(8): A61B5/369A61B5/00
CPCA61B5/4809A61B5/7267A61B5/4818A61B5/7225A61B5/7203
Inventor 余辉赵婧黄雪莹孙敬来陈振垢程翔刘冬怡汪光普王硕
Owner TIANJIN UNIV
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