Title :
Biomedical signal averaging with highly-quantized weights
Author :
Leski, J. ; Henzel, N.
Author_Institution :
Inst. of Electron., Silesian Tech. Univ., Gliwice, Poland
Abstract :
This paper proposes weighted signal averaging method minimizing the noise variance. The weights are highly-quantized to zero and one. In other words, signal cycles are included or excluded from the averaging process
Keywords :
medical signal processing; noise; biomedical signal averaging; highly-quantized weights; noise variance minimization; signal cycles; Attenuation; Biomedical measurements; Biomedical signal processing; Data processing; Electrocardiography; Frequency; Iterative algorithms; Noise level; Signal processing; White noise;
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.1999.804166
