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Open AccessCommunication
Bioengineering 2016, 3(4), 26; doi:10.3390/bioengineering3040026

A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals

1
Department of Obstetrics & Gynecology, University of British Columbia and BC Children’s & Women’s Hospital, Vancouver, BC V6H 3N1, Canada
2
Electrophysiology and Heart Modeling Institute, (IHU LIRYC), Bordeaux 33604, France
3
School of Electrical and Electronics Engineering, University of Adelaide, Adelaide SA 5005, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Gou-Jen Wang
Received: 1 September 2016 / Revised: 12 October 2016 / Accepted: 14 October 2016 / Published: 17 October 2016
View Full-Text   |   Download PDF [2527 KB, uploaded 17 October 2016]   |  

Abstract

A robust and numerically-efficient method based on two moving average filters, followed by a dynamic event-related threshold, has been developed to detect P and T waves in electrocardiogram (ECG) signals as a proof-of-concept. Detection of P and T waves is affected by the quality and abnormalities in ECG recordings; the proposed method can detect P and T waves simultaneously through a unique algorithm despite these challenges. The algorithm was tested on arrhythmic ECG signals extracted from the MIT-BIH arrhythmia database with 21,702 beats. These signals typically suffer from: (1) non-stationary effects; (2) low signal-to-noise ratio; (3) premature atrial complexes; (4) premature ventricular complexes; (5) left bundle branch blocks; and (6) right bundle branch blocks. Interestingly, our algorithm obtained a sensitivity of 98.05% and a positive predictivity of 97.11% for P waves, and a sensitivity of 99.86% and a positive predictivity of 99.65% for T waves. These results, combined with the simplicity of the method, demonstrate that an efficient and simple algorithm can suit portable, wearable, and battery-operated ECG devices. View Full-Text
Keywords: mobile health; affordable healthcare; numerically-efficient algorithms mobile health; affordable healthcare; numerically-efficient algorithms
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Elgendi, M.; Meo, M.; Abbott, D. A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals. Bioengineering 2016, 3, 26.

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