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Wavelet-transform-based QRS complex detection in on-line Holter systems

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1 Author(s)
Szilagyi, L. ; Dept. of Control Eng. & Inf. Technol., Tech. Univ. Budapest, Hungary

Presents a QRS complex detection algorithm that can be applied in on-line Holter systems. The algorithm is performed in two steps: first the wavelet transform is applied to filter the signal, then QRS complex localization is accomplished using a maximum detection algorithm. The algorithm has been tested in two phases. First the QRS detection in ECG registrations from the MIT-BIH database has been performed, which led to an average detection ratio of 99.4%. Then the algorithm has been implemented into a microcontroller-driven portable Holter device

Published in:

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint  (Volume:1 )

Date of Conference:

1999