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|Title:||Electrocardiogram QRS detection using multiscale filtering based on mathematical morphology|
|Authors:||Zhang, F. |
|Citation:||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|
|Appears in Collections:||Staff Publications|
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