Unlock instant, AI-driven research and patent intelligence for your innovation.

OSAHS diagnosis system based on recurrent neural network and millimeter waves

A technology of cyclic neural network and diagnostic system, which is applied in the field of OSAHS diagnostic system, can solve problems such as gradient disappearance, and achieve the effects of easy portability, symptomatic treatment, and accurate apnea syndrome

Pending Publication Date: 2021-04-20
HANGZHOU DIANZI UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Using the neural network to discriminate and classify chest movement events can improve efficiency, but the standard RNN neural network has the problem of gradient disappearance

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
  • OSAHS diagnosis system based on recurrent neural network and millimeter waves
  • OSAHS diagnosis system based on recurrent neural network and millimeter waves
  • OSAHS diagnosis system based on recurrent neural network and millimeter waves

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0030] GRU is an improved version of the standard recurrent neural network. GRU uses an update gate and a reset gate. Basically, these two gating vectors determine which information ends up as the output of the gated recurrent unit. What is special about these two gating mechanisms is that they are able to preserve information in long-term sequences and not be cleared over time or removed because they are not relevant for prediction.

[0031] Such as figure 2As shown, based on the cyclic neural network and millimeter wave OSAHS diagnostic system, the system can extract the thoracic movement events of the patient under test, and distinguish and classify the th...

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 OSAHS diagnosis system based on a recurrent neural network and millimeter waves, and the system employs a millimeter wave module to collect a whole night chest movement signal of a detected patient, carries out the background clutter filtering through a filtering algorithm, reduces a breathing signal, and employs a feature extraction module to process a time domain signal. Through a thoracic cavity signal classification model based on a GRU neural network, four classifications of a normal state, an obstruction pause state, a central pause state and a mixed pause state are realized. And the apnea syndrome condition of the patient is identified according to the statistics of various chest movement states in combination with the AHI index.

Description

technical field [0001] The invention relates to the fields of radar signal processing and breath detection, in particular to an OSAHS diagnosis system based on a cyclic neural network and millimeter waves. Background technique [0002] The proportion of the elderly living at home is 90%, the trend of empty nests and the increase of the elderly living alone, China now has 290 million people suffering from cardiovascular diseases, including 245 million people with high blood pressure, the demand for smart medical equipment that can realize remote real-time home monitoring keep growing. Sleep apnea syndrome is a common respiratory-related disease, which not only affects the daily life of patients, but is more likely to cause high blood pressure, stroke, diabetes and other diseases. In recent years, some elderly people with high blood pressure and coronary heart disease have fallen at night or died suddenly during sleep. At present, the most common way to detect vital signs is...

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): G06K9/00G06N3/04G06N3/08
Inventor 孙洁李文钧岳克强程思一刘昊潘成铭
Owner HANGZHOU DIANZI UNIV