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An approach to QRS complex detection based on multiscale mathematical morphology

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2 Author(s)
Ji-Le Hu ; Inst. of Biomed. & Health Eng., Chinese Acad. of Sci., Shenzhen, China ; Shu-Di Bao

Accurate detection of electrocardiograph feature points is always critical for medical decision-making. A newly developed multi-scale mathematical morphology and its use in QRS complex detection was studied in this paper. It was found that the existing multi-scale mathematical morphology has a problem of a significant shift in feature points positioning. Aiming for exact position detection of feature points, an improved approach based on the concept of multi-scale mathematical morphology is proposed in this study. Experimental results show a much smaller shift in point positioning, and thus demonstrate the effectiveness of the proposed approach.

Published in:

Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on  (Volume:2 )

Date of Conference:

16-18 Oct. 2010

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