Weighted averaging of ECG signal based on the number of turning points

Author

Gyongy, László ; Jobbágy, Ákos

Author_Institution

Dept. of Meas. & Instrum. Eng., Tech. Univ. Budapest, Hungary

Volume

1

fYear

1999

fDate

1999

Abstract

In the case of real ECG processing, because of the nonstationary EMG noise, weighted averaging (WA) should be used instead of classical averaging (CA). Weights may be calculated from the noise variances of the isoelectronic sections of ECG. Instead of this badly defined parameter we propose an integral parameter of the whole heart cycle. The number of turning points of the hysteresis filtered signal proved to be appropriate for WA

Keywords

electrocardiography; filtering theory; mean square error methods; medical signal processing; waveform analysis; ECG signal; hysteresis filtered signal; integral parameter; isoelectronic sections; mean square error; noise variances; nonstationary EMG noise; number of turning points; real signal processing; signal enhancement; waveform analysis; weighted averaging; whole heart cycle; Electrocardiography; Electromyography; Filtering; Heart; Hysteresis; Noise level; Noise measurement; Signal analysis; Signal to noise ratio; Turning;

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.1999.802372

Filename

802372