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Principal component analysis as a tool for analyzing beat-to-beat changes in ECG features: application to ECG-derived respiration (2009)
Journal Article
Langley, P., Bowers, E. J., & Murray, A. (2010). Principal component analysis as a tool for analyzing beat-to-beat changes in ECG features: application to ECG-derived respiration. IEEE transactions on bio-medical engineering / Bio-medical Engineering Group, 57(4), 821-829. https://doi.org/10.1109/TBME.2009.2018297

An algorithm for analyzing changes in ECG morphology based on principal component analysis (PCA) is presented and applied to the derivation of surrogate respiratory signals from single-lead ECGs. The respiratory-induced variability of ECG features, P... Read More about Principal component analysis as a tool for analyzing beat-to-beat changes in ECG features: application to ECG-derived respiration.