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

Healthcare Technology Letters

article

Paul S. Addison¹ 

[1] Technopole Centre

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;   

DOI  :  10.1049/htl.2015.0052

学科分类：肠胃与肝脏病学

来源: Wiley

【 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.

【 授权许可】

CC BY|CC BY-ND|CC BY-NC|CC BY-NC-ND