Recycling cardiogenic artifacts in impedance pneumography

Yao Lu, Hau tieng Wu, John Malik

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)162-170
Number of pages9
JournalBiomedical Signal Processing and Control
StatePublished - May 2019


  • De-shape synchrosqueezing transform
  • Impedance pneumography
  • Signal processing
  • Single-channel blind source separation
  • Time-frequency analysis

ASJC Scopus subject areas

  • Signal Processing
  • Health Informatics
  • Biomedical Engineering


Dive into the research topics of 'Recycling cardiogenic artifacts in impedance pneumography'. Together they form a unique fingerprint.

Cite this