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Principal component analysis in ECG signal processing

På svenska

Author

  • Francisco Castells
  • Pablo Laguna
  • Leif Sörnmo
  • Andreas Bollmann
  • Jose Millet Roig

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.

Publishing year

2007

Language

English

Pages

74580-74580

Publication/Series

Eurasip Journal on Applied Signal Processing

Document type

Journal article

Publisher

Hindawi Limited

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Status

Published

ISBN/ISSN/Other

  • ISSN: 1110-8657