A fuzzy method for ECG feature extraction

Author

Leski, J. ; Henzel, N.

Author_Institution

Inst. of Electron., Silesian Tech. Univ., Gliwice, Poland

Volume

2

fYear

1999

fDate

36434

Abstract

An application of an energy measure of fuzziness to the alignment of QRS complexes of the ECG signal for averaging and R-R interval measures is presented. The investigations were conducted for SNR from -15 to 20 dB. The precision of QRS waves localization was slightly worse that the highly precise Fourier Shift Method. The primary advantage of the present method is its computational simplicity, which allows the method to be used for computer analysis of ECG signals, e.g, exercise, monitoring and Holter systems

Keywords

electrocardiography; feature extraction; fuzzy set theory; medical signal processing; patient monitoring; ECG feature extraction; ECG signal; Holter systems; QRS complexes; R-R interval measures; SNR; averaging; computational simplicity; energy measure; exercise; fuzziness; fuzzy method; monitoring; Attenuation; Control systems; Electrocardiography; Energy measurement; Entropy; Feature extraction; Filters; Fuzzy set theory; Heart rate variability; Sampling methods;

fLanguage

English

Publisher

ieee

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

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.804084

Filename

804084