Title :
Adaptive pulse segmentation and artifact detection in photoplethysmography for mobile applications
Author :
Karlen, Walter ; Ansermino, J. Mark ; Dumont, Georges
Author_Institution :
Depts. of Electr. & Comput. Eng. & Anesthesiology, Pharmacology & Therapeutics, Univ. of British Columbia (UBC), Vancouver, BC, Canada
fDate :
Aug. 28 2012-Sept. 1 2012
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.
Keywords :
cardiology; feature extraction; medical signal processing; mobile handsets; oximetry; photoplethysmography; sensitivity; signal classification; time-domain analysis; Complex System Laboratory Benchmark dataset; adaptive pulse segmentation; adaptive thresholds; artifact detection; artifacts classification; incremental-merge segmentation algorithm; mobile applications; mobile phone pulse oximetry; morphological feature extraction; noninvasive heart rate measurement; oxygen saturation; photoplethysmography; real-time algorithm; sensitivity; time domain; vital signs; Algorithm design and analysis; Benchmark testing; Diseases; Heart rate; Mobile handsets; Prediction algorithms; Real-time systems; Algorithms; Heart Rate; Humans; Photoplethysmography;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6346628
