Independent component analysis is a promising multidimensional signal processing technique that can enhance clinical ECG analysis through denoising and artefact removal.
ICA may aid specialized ECG processing; leaves open routine adoption pending prospective validation.
Independent component analysis (ICA) is an emerging technique for multidimensional signal processing. In recent years, these techniques have been proposed for solving a large number of biomedical applications. This work reviews current knowledge on ICA in electrocardiographic (ECG) analysis. The benefits that ICA can bring to clinical practice are illustrated with four relevant clinical applications: foetal ECG extraction from maternal ECG recordings, analysis of atrial fibrillation, ECG denoising and removal of pacemaker artefacts.
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Castells et al. (2007) studied this question.
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