Detection of a and b waves in the acceleration photoplethysmogram

BioMedical Engineering OnLine

Mohamed Elgendi³  Ian Norton¹  Matt Brearley¹  Derek Abbott²  Dale Schuurmans³ 

[1] National Critical Care and Trauma Response Centre, Darwin, Australia

[2] School of Electrical and Electronic Engineering, University of Adelaide, Adelaide, SA 5005, Australia

[3] Department of Computing Science, University of Alberta, 2-32 Athabasca Hall, T6G 2E1 Edmonton, Canada

关键词: Atherosclerosis;    Hypertension;    Vascular effects;   

Others  :  1084367
DOI  :  10.1186/1475-925X-13-139

 received in 2014-08-06, accepted in 2014-09-19,  发布年份 2014

【 摘 要 】

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.

【 授权许可】

   
2014 Elgendi et al.; licensee BioMed Central Ltd.

【 图 表 】

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