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Journal of Biomedical Optics • Open Access

Constrained independent component analysis approach to nonobtrusive pulse rate measurements
Author(s): Gill R. Tsouri; Survi Kyal; Sohail A. Dianat; Lalilt K. Mestha

Paper Abstract

Nonobtrusive pulse rate measurement using a webcam is considered. We demonstrate how state-of-the-art algorithms based on independent component analysis suffer from a sorting problem which hinders their performance, and propose a novel algorithm based on constrained independent component analysis to improve performance. We present how the proposed algorithm extracts a photoplethysmography signal and resolves the sorting problem. In addition, we perform a comparative study between the proposed algorithm and state-of-the-art algorithms over 45 video streams using a finger probe oxymeter for reference measurements. The proposed algorithm provides improved accuracy: the root mean square error is decreased from 20.6 and 9.5 beats per minute (bpm) for existing algorithms to 3.5 bpm for the proposed algorithm. An error of 3.5 bpm is within the inaccuracy expected from the reference measurements. This implies that the proposed algorithm provided performance of equal accuracy to the finger probe oximeter.

Paper Details

Date Published: 17 July 2012
PDF: 5 pages
J. Biomed. Opt. 17(7) 077011 doi: 10.1117/1.JBO.17.7.077011
Published in: Journal of Biomedical Optics Volume 17, Issue 7
Show Author Affiliations
Gill R. Tsouri, Rochester Institute of Technology (United States)
Survi Kyal, Rochester Institute of Technology (United States)
Sohail A. Dianat, Rochester Institute of Technology (United States)
Lalilt K. Mestha, Xerox Corp. (United States)

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