Home Sleep Apnea Syndrome Observation System Based on Neural Network
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    This paper introduces a new SAS monitoring system. The system utilizes a self-designed app invoked by mobile phones to collect the data of users' snore. Then it transmits the data via home wireless network by means of ftp and finally stores the data in a PC. Moreover, the neural net algorithm and voice-recognition technology have been inserted into core algorithm of the system to identify voice and snore, which can implement the diagnosis of the SAS by combining the analyses of symptoms. The system has a higher disease classification rate than a traditional SAS monitoring system.

    Reference
    Related
    Cited by
Get Citation

孟泽民,林生生.基于神经网络的家用型睡眠呼吸暂停综合症监测系统.计算机系统应用,2014,23(3):220-223,131

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:August 10,2013
  • Revised:September 12,2013
  • Adopted:
  • Online: March 26,2014
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063