Key result
Principal component analysis successfully decomposed the plethysmographic signal, preserving functional relationships and the 1/f process in the residues.
Population
Photoplethysmographic signals
Design
Other
Authors
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May refine plethysmographic monitoring; leaves open clinical validation in cardiovascular practice.
Principal component analysis is a viable method for decomposing photoplethysmographic signals, potentially enabling the extraction of new clinically relevant parameters.
quez et al. (2002) studied Photoplethysmographic signal analysis. Principal component analysis (PCA) was evaluated. Principal component analysis successfully decomposed the plethysmographic signal, preserving functional relationships and the 1/f process in the residues.
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