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  • Title: Electrocardiogram QRS detection using multiscale filtering based on mathematical morphology.
    Author: Zhang F, Lian Y.
    Journal: Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3196-9. PubMed ID: 18002675.
    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.
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