Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEMBS.2011.6091365
Title: A computationally efficient QRS detection algorithm for wearable ECG sensors
Authors: Wang, Y.
Deepu, C.J. 
Lian, Y. 
Keywords: Electrocardiogram
low complexity
QRS detection
wearable sensors
Issue Date: 2011
Source: Wang, Y.,Deepu, C.J.,Lian, Y. (2011). A computationally efficient QRS detection algorithm for wearable ECG sensors. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS : 5641-5644. ScholarBank@NUS Repository. https://doi.org/10.1109/IEMBS.2011.6091365
Abstract: In this paper we present a novel Dual-Slope QRS detection algorithm with low computational complexity, suitable for wearable ECG devices. The Dual-Slope algorithm calculates the slopes on both sides of a peak in the ECG signal; And based on these slopes, three criterions are developed for simultaneously checking 1)Steepness 2)Shape and 3)Height of the signal, to locate the QRS complex. The algorithm, evaluated against MIT/BIH Arrhythmia Database, achieves a very high detection rate of 99.45%, a sensitivity of 99.82% and a positive prediction of 99.63%. © 2011 IEEE.
Source Title: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
URI: http://scholarbank.nus.edu.sg/handle/10635/68757
ISBN: 9781424441211
ISSN: 1557170X
DOI: 10.1109/IEMBS.2011.6091365
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