  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 hemodynamic information from these
cardiogenic artifacts. Methods: We apply a nonlinear time-frequency analysis
technique, the de-shape synchrosqueezing transform (dsSST), to adaptively
isolate the high- and low-frequency components of a single-channel signal. We
demonstrate this technique's effectiveness by removing and deriving hemodynamic
information from the cardiogenic artifact in an impedance pneumography (IP).
Results: The instantaneous heart rate is extracted, and the cardiac and
respiratory signals are reconstructed. Conclusions: The dsSST is suitable for
generating useful hemodynamic information from the cardiogenic artifact in a
single-channel IP. We propose that the usefulness of the dsSST as a recycling
tool extends to other biomedical sensors exhibiting cardiogenic artifacts.
