Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/87376
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Type: Journal article
Title: Detection of a and b waves in the acceleration photoplethysmogram
Author: Elgendi, M.
Norton, I.
Brearley, M.
Abbott, D.
Schuurmans, D.
Citation: BioMedical Engineering OnLine, 2014; 13(1):139-156
Publisher: BioMed Central
Issue Date: 2014
ISSN: 1475-925X
1475-925X
Statement of
Responsibility: 
Mohamed Elgendi, Ian Norton, Matt Brearley, Derek Abbott, and Dale Schuurmans
Abstract: Background: Analyzing acceleration photoplethysmogram (APG) signals measured after exercise is challenging. In this paper, a novel algorithm that can detect a waves and consequently b waves under these conditions is proposed. Accurate a and b wave detection is an important first step for the assessment of arterial stiffness and other cardiovascular parameters. Methods: Nine algorithms based on fixed thresholding are compared, and a new algorithm is introduced to improve the detection rate using a testing set of heat stressed APG signals containing a total of 1,540 heart beats. Results: The new a detection algorithm demonstrates the highest overall detection accuracy—99.78% sensitivity, 100% positive predictivity—over signals that suffer from 1) non-stationary effects, 2) irregular heartbeats, and 3) low amplitude waves. In addition, the proposed b detection algorithm achieved an overall sensitivity of 99.78% and a positive predictivity of 99.95%. Conclusions: The proposed algorithm presents an advantage for real-time applications by avoiding human intervention in threshold determination.
Keywords: Vascular effects; Hypertension; Atherosclerosis
Rights: © 2014 Elgendi et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
RMID: 0030009688
DOI: 10.1186/1475-925X-13-139
Appears in Collections:Electrical and Electronic Engineering publications

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