A simple and effective algorithm for R-wave detection using smartphones

Xiaodan Wu, Chao Hsien Chu, Dianmin Yue, Jungyoon Kim, Shuai Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Developing simple and effective algorithms for detecting cardiovascular diseases (CVDs) using smartphones has been the trend of research in pervasive healthcare. This paper proposes an efficient R-wave detection algorithm and tested it in an Android Smartphone. We use the complete datasets of MIT-BIH arrhythmia database to verify its relative performance with three other algorithms. Our results show that it can obtain an average error rate of 0.22%, a sensitivity of 99.88% and a predictive accuracy of 99.90%; while, only takes 12ms to process 10 seconds data in a smartphone; thus, it is more suitable for use at mobile devices.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014
PublisherIEEE Computer Society
Pages902-905
Number of pages4
ISBN (Print)9781479945658
DOIs
StatePublished - Jan 1 2014
Event2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014 - Ottawa, ON, Canada
Duration: May 8 2014May 9 2014

Publication series

NameProceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014

Other

Other2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014
Country/TerritoryCanada
CityOttawa, ON
Period5/8/145/9/14

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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