NDLI: Respiratory rate assessment from photoplethysmographic imaging

Content Provider	IEEE Xplore Digital Library
Author	Karlen, W. Garde, A. Myers, D. Scheffer, C. Ansermino, J.M. Dumont, G.A.
Copyright Year	2014
Description	Author affiliation: Dept. of Mech. & Mechatron. Eng., Univ. of Stellenbosch, Stellenbosch, South Africa (Scheffer, C.) \|\| Depts. of Electr. & Comput. Eng. & Anesthesiology, Pharmacology & Therapeutics, Electr. & Comput. Eng. in Med. Group, Univ. of British Columbia (UBC), Vancouver, BC, Canada (Karlen, W.; Garde, A.; Myers, D.; Ansermino, J.M.; Dumont, G.A.)
Abstract	We present a study investigating the suitability of a respiratory rate estimation algorithm applied to photoplethysmographic imaging on a mobile phone. The algorithm consists of a cascade of previously developed signal processing methods to detect features and extract respiratory induced variations in photoplethysmogram signals to estimate respiratory rate. With custom-built software on an Android phone (Camera Oximeter), contact photoplethysmographic imaging videos were recorded using the integrated camera from 19 healthy adults breathing spontaneously at respiratory rates between 6 and 40 breaths/min. Capnometry was simultaneously recorded to obtain reference respiratory rates. Two hundred and ninety-eight Camera Oximeter recordings were available for analysis. The algorithm detected 22 recordings with poor photoplethysmogram quality and 46 recordings with insufficient respiratory information. Of the 232 remaining recordings, a root mean square error of 5.9 breaths/min and a median absolute error of 2.3 breaths/min was obtained. The study showed that it is feasible to estimate respiratory rates by placing a finger on a mobile phone camera, but that it becomes increasingly challenging at respiratory rates higher than 20 breaths/min.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	5397
Ending Page	5400
File Size	1041880
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944846
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cameras Estimation Mobile handsets Videos Algorithm design and analysis Heart rate
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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