Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications

Walter Karlen; J Mark Ansermino; Guy Dumont

doi:10.1109/EMBC.2012.6346628

Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications

Annu Int Conf IEEE Eng Med Biol Soc. 2012:2012:3131-4. doi: 10.1109/EMBC.2012.6346628.

Authors

Walter Karlen¹, J Mark Ansermino, Guy Dumont

Affiliation

¹ 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

PMID: 23366589
DOI: 10.1109/EMBC.2012.6346628

Abstract

Pulse 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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Heart Rate / physiology
Humans
Photoplethysmography / methods*