Detection of a and b waves in the acceleration photoplethysmogram

作者：Elgendi Mohamed^*; Norton Ian; Brearley Matt; Abbott Derek; Schuurmans Dale

来源：BioMedical Engineering Online, 2014, 13(1): 139.

DOI：10.1186/1475-925X-13-139

• Vascular effects
• Hypertension
• Atherosclerosis

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. %26lt;br%26gt;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. %26lt;br%26gt;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%. %26lt;br%26gt;Conclusions: The proposed algorithm presents an advantage for real-time applications by avoiding human intervention in threshold determination.

• 出版日期2014-9-25