title: Modular continuous wavelet processing of biosignals: extracting heart rate and oxygen saturation from a video signal.
abstract: 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 (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.
authors.affiliation: Medtronic Respiratory & Monitoring Solutions , Technopole Centre , Edinburgh EH26 0PJ , UK.
authors.forename: Paul S
authors.identifier: 0000-0002-6925-0935
authors.initials: PS
authors.lastname: Addison
keywords: SvidO2; absolute saturation signal; acute desaturation; cardiology; feature extraction; haemodynamics; heart rate extraction; medical signal processing; modular continuous wavelet processing; noisy nonstationary biosignals; oxygen saturation; photoplethysmography; porcine model; video photoplethysmogram; video signal; video signal processing; wavelet transform; wavelet transforms