Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Principal Component Analysis in ECG Signal Processing | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 74580 21 pages doi 2007 74580 Research Article Principal Component Analysis in ECG Signal Processing Francisco Castells 1 Pablo Laguna 1 2 Leif Sornmo 3 Andreas Bollmann 4 and Jose Millet Roig5 1 Grupo de Investigation en Bioingeneria Electronica y Telemedicina Departamento de Ingeneria Electronica Escuela Politecnica Superior de Gandia Universidad Politecnica de Valencia UPV Ctra. Nazaret-Oliva 46730 Gandia Spain 2 Communications Technology Group Aragon Institute of Engineering Research University of Zaragoza 50018 Zaragoza Spain 3 Signal Processing Group Department of Electrical Engineering Lund University 22100 Lund Sweden 4 Department of Cardiology Otto-von-Guericke-University Magdeburg 39120 Magdeburg Germany 5 Grupo de Investigation en Bioingeneria Electronica y Telemedicina Departamento de Ingeneria Electronica Universidad Politeicnica de Valencia Cami de Vera 46022 Valencia Spain Received 11 May 2006 Revised 20 November 2006 Accepted 20 November 2006 Recommended by William Allan Sandham 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. Copyright 2007 Francisco Castells et al. This is an open access article distributed under the Creative Commons Attribution License which permits
