A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals
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 i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-10-01
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| Series: | Bioengineering |
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| Online Access: | http://www.mdpi.com/2306-5354/3/4/26 |
| _version_ | 1797766249210445824 |
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| author | Mohamed Elgendi Marianna Meo Derek Abbott |
| author_facet | Mohamed Elgendi Marianna Meo Derek Abbott |
| author_sort | Mohamed Elgendi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T20:22:34Z |
| format | Article |
| id | doaj.art-8dedba4087d646149dc1b03fe986d66b |
| institution | Directory Open Access Journal |
| issn | 2306-5354 |
| language | English |
| last_indexed | 2024-03-12T20:22:34Z |
| publishDate | 2016-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Bioengineering |
| spelling | doaj.art-8dedba4087d646149dc1b03fe986d66b2023-08-02T00:49:09ZengMDPI AGBioengineering2306-53542016-10-01342610.3390/bioengineering3040026bioengineering3040026A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG SignalsMohamed Elgendi0Marianna Meo1Derek Abbott2Department of Obstetrics & Gynecology, University of British Columbia and BC Children’s & Women’s Hospital, Vancouver, BC V6H 3N1, CanadaElectrophysiology and Heart Modeling Institute, (IHU LIRYC), Bordeaux 33604, FranceSchool of Electrical and Electronics Engineering, University of Adelaide, Adelaide SA 5005, AustraliaA 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.http://www.mdpi.com/2306-5354/3/4/26mobile healthaffordable healthcarenumerically-efficient algorithms |
| spellingShingle | Mohamed Elgendi Marianna Meo Derek Abbott A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals Bioengineering mobile health affordable healthcare numerically-efficient algorithms |
| title | A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals |
| title_full | A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals |
| title_fullStr | A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals |
| title_full_unstemmed | A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals |
| title_short | A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals |
| title_sort | proof of concept study simple and effective detection of p and t waves in arrhythmic ecg signals |
| topic | mobile health affordable healthcare numerically-efficient algorithms |
| url | http://www.mdpi.com/2306-5354/3/4/26 |
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