On-line QRS complex detection using wavelet filtering

Author

Szilagyi, L. ; Benyo, Dr Z. ; Szilagyi, S.M. ; Szlavecz, A. ; Nagy, L.

Author_Institution

Dept. of Control Eng. & Inf. Technol., Budapest Univ. of Technol. & Econ., Hungary

Volume

2

fYear

2001

fDate

2001

Firstpage

1872

Abstract

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.

Keywords

electrocardiography; medical signal detection; microcontrollers; wavelet transforms; ECG registrations; Hungarian Foundation for Scientific Research; MIT-BIH database; QRS complex localization; detection ratio; electrodiagnostics; maximum detection; microcontroller-driven portable Holter device; on-line QRS complex detection; peak classification algorithm; wavelet filtering; Attenuation; Band pass filters; Control engineering; Detection algorithms; Electrocardiography; Filtering algorithms; Frequency; Information technology; Paper technology; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020590

Filename

1020590