Principal component analysis in ECG signal processing
EURASIP Journal on Applied Signal Processing
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Background: The athlete's heart represents a reversible structural and functional adaptations of myocardial tissue developed through physical conditioning. Surface electrocardiogram (ECG) has the capability to detect myocardial hypertrophy but has limited performance in monitoring physical conditioning-induced myocardial remodeling. The aim of this study was to develop an ECG-derived test for detecting incipient myocardial hypertrophy in well-conditioned athletes based on a principal components (PC) analysis. Methods: Two groups of study composed of 14 sedentary healthy volunteers (Control group) and 14 professional long distance runners (Athlete group) had their maximal metabolic equivalents (MET) estimated (mean+/-SD: Control group: 9+/-2 METs vs. Athlete group: 20+/-1 METs, p