Modular continuous wavelet processing of biosignals: extracting heart rate and oxygen saturation from a video signal

[摘要] A novel method of extracting heart rate and oxygen saturation from a video-based biosignal is described. The method comprises a novel modular continuous wavelet transform approach which includes: performing the transform, undertaking running wavelet archetyping to enhance the pulse information, extraction of the pulse ridge time–frequency information [and thus a heart rate (HR vid ) signal], creation of a wavelet ratio surface, projection of the pulse ridge onto the ratio surface to determine the ratio of ratios from which a saturation trending signal is derived, and calibrating this signal to provide an absolute saturation signal (S vid O 2 ). The method is illustrated through its application to a video photoplethysmogram acquired during a porcine model of acute desaturation. The modular continuous wavelet transform-based approach is advocated by the author as a powerful methodology to deal with noisy, non-stationary biosignals in general.

[学科分类] 肠胃与肝脏病学

[关键词] wavelet transforms;video signal processing;medical signal processing;feature extraction;cardiology;photoplethysmography;haemodynamics;noisy nonstationary biosignals;acute desaturation;porcine model;video photoplethysmogram;SvidO2;absolute saturation signal;wavelet transform;video signal;oxygen saturation;heart rate extraction;modular continuous wavelet processing