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

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

doi:10.1109/IWECA.2014.6845767

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

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

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014
Publisher	IEEE Computer Society
Pages	902-905
Number of pages	4
ISBN (Print)	9781479945658
DOIs	https://doi.org/10.1109/IWECA.2014.6845767
State	Published - Jan 1 2014
Event	2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014 - Ottawa, ON, Canada Duration: May 8 2014 → May 9 2014

Publication series

Name	Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014

Other

Other	2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014
Country/Territory	Canada
City	Ottawa, ON
Period	5/8/14 → 5/9/14

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IWECA.2014.6845767

Cite this

Wu, X., Chu, C. H., Yue, D., Kim, J., & Li, S. (2014). A simple and effective algorithm for R-wave detection using smartphones. In Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014 (pp. 902-905). Article 6845767 (Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014). IEEE Computer Society. https://doi.org/10.1109/IWECA.2014.6845767

@inproceedings{96ae428812d9443cb9087724d4280dcb,

title = "A simple and effective algorithm for R-wave detection using smartphones",

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.",

author = "Xiaodan Wu and Chu, {Chao Hsien} and Dianmin Yue and Jungyoon Kim and Shuai Li",

year = "2014",

month = jan,

day = "1",

doi = "10.1109/IWECA.2014.6845767",

language = "English (US)",

isbn = "9781479945658",

series = "Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014",

publisher = "IEEE Computer Society",

pages = "902--905",

booktitle = "Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014",

address = "United States",

note = "2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014 ; Conference date: 08-05-2014 Through 09-05-2014",

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Wu, X, Chu, CH, Yue, D, Kim, J & Li, S 2014, A simple and effective algorithm for R-wave detection using smartphones. in Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014., 6845767, Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014, IEEE Computer Society, pp. 902-905, 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014, Ottawa, ON, Canada, 5/8/14. https://doi.org/10.1109/IWECA.2014.6845767

A simple and effective algorithm for R-wave detection using smartphones. / Wu, Xiaodan; Chu, Chao Hsien; Yue, Dianmin et al.
Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014. IEEE Computer Society, 2014. p. 902-905 6845767 (Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A simple and effective algorithm for R-wave detection using smartphones

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AU - Chu, Chao Hsien

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AU - Kim, Jungyoon

AU - Li, Shuai

PY - 2014/1/1

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N2 - 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.

AB - 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.

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

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