NDLI: Automated beat onset and peak detection algorithm for field-collected photoplethysmograms

Content Provider	IEEE Xplore Digital Library
Author	Liangyou Chen Reisner, A.T. Reifman, J.
Copyright Year	2009
Description	Author affiliation: Senior Research Scientist and Director of the Bioinformatics Cell, TATRC, USAMRMC, ATTN: MCMR-TT, Bldg. 363 Miller Drive, Fort Detrick, Maryland 21702 (Reifman, J.) \|\| Massachusetts General Hospital Department of Emergency Medicine, Boston, Massachusetts 02114 and with the Bioinformatics Cell, TATRC, USAMRMC, Fort Detrick, Maryland 21702 (Reisner, A.T.) \|\| Bioinformatics Cell, Telemedicine and Advanced Technology Research Center (TATRC), USAMRMC, Fort Detrick, Maryland 21702 (Liangyou Chen)
Abstract	Recent reports suggest that photoplethysmo-graphy (PPG), which is a component of routine pulse oximetry, may be useful for detecting hypovolemia. An essential step in extracting and analyzing common PPG features is the robust identification of onset and peak locations of the vascular beats, despite varying beat morphologies and major oscillations in the baseline. Some prior reports used manual analysis of the PPG waveform; however, for systematic widespread use, an automated method is required. In this paper, we report an algorithm that automatically detects beat onsets and peaks from noisy field-collected PPG waveforms. We validated the algorithm by clinician evaluation of 100 randomly selected PPG waveform samples. For 99% of the beats, the algorithm was able to credibly identify the onsets and peaks of vascular beats, although the precise locations were ambiguous, given the very noisy data from actual clinical operations. The algorithm appears promising, and future consideration of its diagnostic capabilities and limitations is warranted.
Starting Page	5689
Ending Page	5692
File Size	487748
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333542
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Detection algorithms Biomedical measurements Bioinformatics Morphology Arterial blood pressure Medical diagnostic imaging Pulse measurements USA Councils Robustness Patient monitoring
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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