Development and verification of an accelerometer-based respiratory detection algorithm with wearable instrumented smart clothes

Chih Chieh Huang, Wen Yen Lin, Ming Yih Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this work, a wearable instrumented smart clothes with an accelerometer sensor embedded on the upper abdomen close to the diaphragm was used to detect respiration of subjects. A detection algorithm was proposed and verified with 30 testing cases on male and female subjects separately. More than 97% of accuracy is achieved by comparing with the detection results from respiratory belt conducted simultaneously. This clothes and respiratory detection is extremely useful to monitor human's respiration when the subjects are in sleep and hence could be used for the detection of sleep apnea syndrome.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages578-581
Number of pages4
ISBN (Electronic)9781538616451
DOIs
StatePublished - 27 11 2017
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: 05 10 201708 10 2017

Publication series

Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Volume2017-January

Conference

Conference2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Country/TerritoryCanada
CityBanff
Period05/10/1708/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Accelerometer
  • Algorithm
  • Respiratory detection
  • Wearable instrumented smart clothes

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