Next Article in Journal
A Simple Picaxe Microcontroller Pulse Source for Juxtacellular Neuronal Labelling
Previous Article in Journal
Microfluidics for Antibiotic Susceptibility and Toxicity Testing
Article Menu

Export Article

Open AccessCommunication
Bioengineering 2016, 3(4), 26;

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

Department of Obstetrics & Gynecology, University of British Columbia and BC Children’s & Women’s Hospital, Vancouver, BC V6H 3N1, Canada
Electrophysiology and Heart Modeling Institute, (IHU LIRYC), Bordeaux 33604, France
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
Full-Text   |   PDF [2527 KB, uploaded 17 October 2016]   |  


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

Figure 1

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).

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Bioengineering EISSN 2306-5354 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top