@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",
}