Title :
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
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;
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
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802372
