DocumentCode :
3096265
Title :
Independent Component Analysis of Parameterized Electrocardiogram Signals
Author :
Tanskanen, J.M.A. ; Viik, Jari J. ; Hyttinen, Jari A K
Author_Institution :
Ragnar Granit Inst., Tampere Univ. of Technol.
fYear :
2006
fDate :
7-9 June 2006
Firstpage :
230
Lastpage :
233
Abstract :
Independent component analysis (ICA) of measured signals yields the independent sources, given certain fulfilled requirements. Properly parameterized signals may provide a better view to the considered system aspects, while reducing the amount of data. It is little acknowledged that appropriately parameterized signals may be subjected to ICA, yielding independent components displaying more clearly the investigated properties of the sources. In this paper, we propose ICA of parameterized signals, and demonstrate the concept with a set of electrocardiogram (ECG) measurements and their selected parameterizations
Keywords :
electrocardiography; independent component analysis; medical signal processing; ECG measurement; ICA; independent component analysis; parameterized electrocardiogram signals; Biomedical measurements; Coronary arteriosclerosis; Electrocardiography; Independent component analysis; Integrated circuit modeling; Iterative algorithms; Personnel; Signal processing; Time measurement; Uniform resource locators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th Nordic
Conference_Location :
Rejkjavik
Print_ISBN :
1-4244-0412-6
Electronic_ISBN :
1-4244-0413-4
Type :
conf
DOI :
10.1109/NORSIG.2006.275230
Filename :
4052225
Link To Document :
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