%0 Electronic Article
%A Paul S. Addison
%+ Medtronic Respiratory & Monitoring Solutions, Technopole Centre, Edinburgh EH26 0PJ, UK
%K video signal
%K heart rate extraction
%K video photoplethysmogram
%K noisy nonstationary biosignals
%K wavelet transform
%K oxygen saturation
%K acute desaturation
%K modular continuous wavelet processing
%K absolute saturation signal
%K porcine model
%K SvidO2
%X 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 timeâ€“frequency information [and thus a heart rate (HRvid) 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 (SvidO2). 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.
%T Modular continuous wavelet processing of biosignals: extracting heart rate and oxygen saturation from a video signal
%B Healthcare Technology Letters
%D June 2016
%V 3
%N 2
%P 111-115
%I Institution of Engineering and Technology
%U https://digital-library.theiet.org/;jsessionid=9cbde3a5ipmld.x-iet-live-01content/journals/10.1049/htl.2015.0052
%G EN