DocumentCode
3307878
Title
Biomedical signal averaging with highly-quantized weights
Author
Leski, J. ; Henzel, N.
Author_Institution
Inst. of Electron., Silesian Tech. Univ., Gliwice, Poland
Volume
2
fYear
1999
fDate
36434
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;
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.1999.804166
Filename
804166
Link To Document