Principal component analysis in ECG signal processing
Författare
Summary, in English
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.
Publiceringsår
2007
Språk
Engelska
Sidor
74580-74580
Publikation/Tidskrift/Serie
Eurasip Journal on Applied Signal Processing
Dokumenttyp
Artikel i tidskrift
Förlag
Hindawi Limited
Ämne
- Electrical Engineering, Electronic Engineering, Information Engineering
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1110-8657