Title :
Wavelet-transform-based QRS complex detection in on-line Holter systems
Author_Institution :
Dept. of Control Eng. & Inf. Technol., Tech. Univ. Budapest, Hungary
Abstract :
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
Keywords :
band-pass filters; electrocardiography; medical signal detection; medical signal processing; wavelet transforms; ECG registrations; MIT-BIH database; QRS complex detection algorithm; QRS complex localization; QRS detection; algorithm; average detection ratio; electrocardiography; maximum detection algorithm; microcontroller-driven portable Holter device; on-line Holter systems; signal filtering; wavelet transform; wavelet-transform-based QRS complex detection; Band pass filters; Control engineering; Databases; Detection algorithms; Electrocardiography; Filtering; Information technology; Signal processing algorithms; Testing; Wavelet transforms;
Conference_Titel :
[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
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802340
