On-line QRS complex detection using wavelet filtering

This paper presents a new QRS complex detection algorithm that can be applied in various on-line ECG processing systems. The algorithm is performed in two steps: first a wavelet transform filtering is applied to the signal, then QRS complex localization is performed using a maximum detection and pea...

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Bibliographic Details
Main Authors: Szilagyi, L., Benyo, Z., Szilagyi, S.M., Szlavecz, A., Nagy, L.
Format: Conference Proceeding
Language:English
Subjects:
Attenuation
Band pass filters
Control engineering
Detection algorithms
Electrocardiography
Filtering algorithms
Frequency
Information technology
Paper technology
Wavelet transforms
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Summary:This paper presents a new QRS complex detection algorithm that can be applied in various on-line ECG processing systems. The algorithm is performed in two steps: first a wavelet transform filtering is applied to the signal, then QRS complex localization is performed using a maximum detection and peak classification algorithm. The algorithm has been tested in two phases. First QRS detection in ECG registrations from the MIT-BIH database was performed, which led to an average detection ratio of 99.50%. Then, the algorithm was implemented into a microcontroller-driven portable Holter device. This research is supported by the Hungarian Foundation for Scientific Research, Grant T29830 and FKFP0301/0999 Project.
ISSN:1094-687X
1558-4615
DOI:10.1109/IEMBS.2001.1020590