PPGFeat: a novel MATLAB toolbox for extracting PPG fiducial points.

ABSTRACT: Photoplethysmography is a non-invasive technique used for measuring several vital signs and for the identification of individuals with an increased disease risk. Its principle of work is based on detecting changes in blood volume in the microvasculature of the skin through the absorption of light. The extraction of relevant features from the photoplethysmography signal for estimating certain physiological parameters is a challenging task, where various feature extraction methods have been proposed in the literature. In this work, we present PPGFeat, a novel MATLAB toolbox supporting the analysis of raw photoplethysmography waveform data. PPGFeat allows for the application of various preprocessing techniques, such as filtering, smoothing, and removal of baseline drift; the calculation of ph

SUBMITTER: Abdullah S 

PROVIDER: S-EPMC10292016 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature