• Conf Proc IEEE Eng Med Biol Soc · Jan 2012

    Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications.

    • Walter Karlen, J Mark Ansermino, and Guy Dumont.
    • Electrical & Computer Engineering in Medicine Group, Departments of Electrical & Computer Engineering and Anesthesiology, Pharmacology & Therapeutics, The University of British Columbia (UBC), 2332 Main Mall, Vancouver, BC, V6T 1Z4, Canada. walter.karlen@ieee.org
    • Conf Proc IEEE Eng Med Biol Soc. 2012 Jan 1; 2012: 3131-4.

    AbstractPulse oximeters non-invasively measure heart rate and oxygen saturation and have great potential for predicting critical illness. The photoplethysmogram (PPG) recorded from pulse oximetry is often corrupted with artifacts. These artifacts render the derived vital signs inaccurate.

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