Please use this identifier to cite or link to this item: https://doi.org/10.1109/IEMBS.2007.4353009
Title: Electrocardiogram QRS detection using multiscale filtering based on mathematical morphology
Authors: Zhang, F. 
Lian, Y. 
Issue Date: 2007
Source: Zhang, F., Lian, Y. (2007). Electrocardiogram QRS detection using multiscale filtering based on mathematical morphology. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings : 3196-3199. ScholarBank@NUS Repository. https://doi.org/10.1109/IEMBS.2007.4353009
Abstract: A novel QRS detection algorithm based on multi-scale mathematical morphology (3M) and multi-frame differential modulus cumulation is proposed in this paper. The algorithm introduces the multi-stage filtering based on mathematical morphology from image processing field into ECG analysis to suppress the impulsive noise, and adopts multi-frame differential modulus cumulation to remove the baseline drift and enhance the signal. An average QRS detection rate of 99.67%, a sensitivity of 99.86% and a positive prediction of 99.80% have been achieved against the MIT/BIH Arrhythmia Database. Comparison with existing methods reveals that the proposed algorithm achieves better detection accuracy. © 2007 IEEE.
Source Title: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/70133
ISBN: 1424407885
ISSN: 05891019
DOI: 10.1109/IEMBS.2007.4353009
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