Key result
A novel modular continuous wavelet transform approach successfully extracted heart rate and oxygen saturation from a video photoplethysmogram in a porcine model of acute desaturation.
A novel modular continuous wavelet transform approach can extract heart rate and oxygen saturation from video-based biosignals, demonstrating potential for non-contact physiological monitoring.
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.
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Paul S. Addison (2016) studied Acute desaturation (porcine model). Modular continuous wavelet transform approach was evaluated on Extraction of heart rate and oxygen saturation. A novel modular continuous wavelet transform approach successfully extracted heart rate and oxygen saturation from a video photoplethysmogram in a porcine model of acute desaturation.
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