Please use this identifier to cite or link to this item:
https://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. |
DOI: | 10.1186/1475-925X-13-139 |
Published version: | http://dx.doi.org/10.1186/1475-925x-13-139 |
Appears in Collections: | Aurora harvest 2 Electrical and Electronic Engineering publications |
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hdl_87376.pdf | Published version | 827.21 kB | Adobe PDF | View/Open |
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