Recycling cardiogenic artifacts in impedance pneumography
作者： Hau-tieng Wu , John Malik , Yao Lu
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摘要: Purpose: Biomedical sensors often exhibit cardiogenic artifacts which, while distorting the signal of interest, carry useful hemodynamic information. We propose an algorithm to remove and extract information from these artifacts. Methods: apply a nonlinear time-frequency analysis technique, de-shape synchrosqueezing transform (dsSST), adaptively isolate high- low-frequency components single-channel signal. demonstrate this technique's effectiveness by removing deriving artifact in impedance pneumography (IP). Results: The instantaneous heart rate is extracted, cardiac respiratory signals are reconstructed. Conclusions: dsSST suitable for generating IP. that usefulness as recycling tool extends other biomedical exhibiting
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