R-peak detection with alternative Haar wavelet filter

Author

Alexandridi, A. ; Panagopoulos, I. ; Manis, G. ; Papakonstantinou, Georgios

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

219

Lastpage

222

Abstract

This work presents a new filtering method for the Pan-Tompkins algorithm. The Haar wavelet is substituted for the bandpass filter commonly used in the algorithm and is applied to sample the data from two popular databases. We found that the application of the Haar wavelet as a filtering step produces a much clearer signal after the integration phase of the Pan-Tompkins algorithm and that peak detection is comparable to that of the bandpass approach. The benefits of using the Haar wavelet includes simpler computations and its hardware implementation is cheaper than that of the bandpass filter since there is no multiplication necessary.

Keywords

Haar transforms; band-pass filters; electrocardiography; filtering theory; medical signal processing; wavelet transforms; Haar wavelet filter; R-peak detection; bandpass filter; filtering method; Band pass filters; Biomedical signal processing; Detection algorithms; Discrete wavelet transforms; Electrocardiography; Filtering algorithms; Heart rate variability; Low pass filters; Signal processing algorithms; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2003. ISSPIT 2003. Proceedings of the 3rd IEEE International Symposium on

Print_ISBN

0-7803-8292-7

Type

conf

DOI

10.1109/ISSPIT.2003.1341099

Filename

1341099