Filter bank-based processing of the stress ECG

Author

Afonso, Valtino X. ; Tompkins, Willis J. ; Nguyen, Truong Q. ; Trautmann, Steffen ; Luo, Shen

Author_Institution

Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA

Volume

2

fYear

1995

fDate

20-23 Sep 1995

Firstpage

887

Abstract

The algorithm presented is based on subband processing of the electrocardiogram (EGG), using Filter Banks (FB), and removes noise from stress-type ECGs. For Gaussian noise the FB-based method improves the signal-to-noise ratio (SNR), significantly better than the Mean and Median averaging methods. For muscle noise the FB-based method improves the SNR comparatively better than the Mean and Median averaging methods. The FB-based algorithm offers a way to process specific time periods in the heart beat cycle and remove noise in specific frequency bands

Keywords

electrocardiography; medical signal processing; noise; Gaussian noise; electrodiagnostics; filter bank-based processing; frequency bands; heart beat cycle; mean averaging method; median averaging method; muscle noise; noise removal; stress ECG; Databases; Electrocardiography; Filter bank; Frequency; Gaussian noise; Noise generators; Signal processing; Signal processing algorithms; Signal to noise ratio; Stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-2475-7

Type

conf

DOI

10.1109/IEMBS.1995.579254

Filename

579254