Search: WFRF:(Francisco Francisco)
> (2005-2009) >
Principal component...
Principal component analysis in ECG signal processing
-
Castells, Francisco (author)
-
Laguna, Pablo (author)
-
- Sörnmo, Leif (author)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
-
show more...
-
Bollmann, Andreas (author)
-
Roig, Jose Millet (author)
-
show less...
-
(creator_code:org_t)
- 2007-02-08
- 2007
- English.
-
In: Eurasip Journal on Applied Signal Processing. - : Springer Science and Business Media LLC. - 1110-8657. ; , s. 74580-74580
- Related links:
-
http://dx.doi.org/10...
-
show more...
-
https://asp-eurasipj...
-
https://lup.lub.lu.s...
-
https://doi.org/10.1...
-
show less...
Abstract
Subject headings
Close
- This paper reviews the current status of principal component analysis in the area of ECG signal processing. The fundamentals of PCA are briefly described and the relationship between PCA and Karhunen-Loeve transform is explained. Aspects on PCA related to data with temporal and spatial correlations are considered as adaptive estimation of principal components is. Several ECG applications are reviewed where PCA techniques have been successfully employed, including data compression, ST-T segment analysis for the detection of myocardial ischemia and abnormalities in ventricular repolarization, extraction of atrial fibrillatory waves for detailed characterization of atrial fibrillation, and analysis of body surface potential maps.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Publication and Content Type
- art (subject category)
- ref (subject category)
Find in a library
To the university's database