A deterministic approach for finding the T onset parameter of flatten T wave in ECG

Identification of the exact nature of flatten T wave in ECG signal is Classification of normal and abnormal T wave episodes especially, regarding Flatten T wave in electrocardiography (ECG) signal is still a complex phenomenon for cardiologists. Identification of Flatten T wave depends on four param...

Full description

Saved in:
Bibliographic Details
Main Authors: Iqbal, Uzair, Teh, Ying Wah, Rehman, Muhammad Habib Ur, Mastoi, Qurat-Ul-Ain
Format: Article
Published: Institute of Information Science, Academia Sinica 2019
Subjects:
Online Access:http://eprints.um.edu.my/24067/
https://jise.iis.sinica.edu.tw/JISESearch/pages/View/PaperView.jsf?keyId=167_2223
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.24067
record_format eprints
spelling my.um.eprints.240672020-03-20T04:24:49Z http://eprints.um.edu.my/24067/ A deterministic approach for finding the T onset parameter of flatten T wave in ECG Iqbal, Uzair Teh, Ying Wah Rehman, Muhammad Habib Ur Mastoi, Qurat-Ul-Ain QA75 Electronic computers. Computer science Identification of the exact nature of flatten T wave in ECG signal is Classification of normal and abnormal T wave episodes especially, regarding Flatten T wave in electrocardiography (ECG) signal is still a complex phenomenon for cardiologists. Identification of Flatten T wave depends on four parameters; Time duration (T dur ), T onset (T on ), T offset (T off ) and T peak (T pk ) values which play a vital role to identify the exact nature of Flatten T wave. The proposed approach is used to extract the T on value of Flatten T wave with the detection of R peaks and RR intervals. The proposed approach is applied to ten different subjects of Flatten. It is divided into three distinct phases. Firstly, Flatten signals are segmented by lead wise. Secondly, noise filtration is done to identify the peak values and removal of low-frequency components. A third phase computes the R peak values and RR intervals with the help proposed algorithm. By using the R peak value as a fiducial point and considering the last interval of RR interval instead of complete T wave alternans detection algorithm (TWA) for determination the T on parameter of Flatten T wave. The experimental evaluation manifests that efficiency factors are high in rate during the operational investigations (closest to the range of 100%). These efficiency factors have been discussed in the context of accuracy, sensitivity, prediction and error rate. These operation efficiency factors will play a benchmark role in future for calculation the others parameters of Flatten T wave. © 2019 Institute of Information Science. All rights reserved. Institute of Information Science, Academia Sinica 2019 Article PeerReviewed Iqbal, Uzair and Teh, Ying Wah and Rehman, Muhammad Habib Ur and Mastoi, Qurat-Ul-Ain (2019) A deterministic approach for finding the T onset parameter of flatten T wave in ECG. Journal of Information Science and Engineering, 35 (2). pp. 307-321. ISSN 1016-2364 https://jise.iis.sinica.edu.tw/JISESearch/pages/View/PaperView.jsf?keyId=167_2223
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Iqbal, Uzair
Teh, Ying Wah
Rehman, Muhammad Habib Ur
Mastoi, Qurat-Ul-Ain
A deterministic approach for finding the T onset parameter of flatten T wave in ECG
description Identification of the exact nature of flatten T wave in ECG signal is Classification of normal and abnormal T wave episodes especially, regarding Flatten T wave in electrocardiography (ECG) signal is still a complex phenomenon for cardiologists. Identification of Flatten T wave depends on four parameters; Time duration (T dur ), T onset (T on ), T offset (T off ) and T peak (T pk ) values which play a vital role to identify the exact nature of Flatten T wave. The proposed approach is used to extract the T on value of Flatten T wave with the detection of R peaks and RR intervals. The proposed approach is applied to ten different subjects of Flatten. It is divided into three distinct phases. Firstly, Flatten signals are segmented by lead wise. Secondly, noise filtration is done to identify the peak values and removal of low-frequency components. A third phase computes the R peak values and RR intervals with the help proposed algorithm. By using the R peak value as a fiducial point and considering the last interval of RR interval instead of complete T wave alternans detection algorithm (TWA) for determination the T on parameter of Flatten T wave. The experimental evaluation manifests that efficiency factors are high in rate during the operational investigations (closest to the range of 100%). These efficiency factors have been discussed in the context of accuracy, sensitivity, prediction and error rate. These operation efficiency factors will play a benchmark role in future for calculation the others parameters of Flatten T wave. © 2019 Institute of Information Science. All rights reserved.
format Article
author Iqbal, Uzair
Teh, Ying Wah
Rehman, Muhammad Habib Ur
Mastoi, Qurat-Ul-Ain
author_facet Iqbal, Uzair
Teh, Ying Wah
Rehman, Muhammad Habib Ur
Mastoi, Qurat-Ul-Ain
author_sort Iqbal, Uzair
title A deterministic approach for finding the T onset parameter of flatten T wave in ECG
title_short A deterministic approach for finding the T onset parameter of flatten T wave in ECG
title_full A deterministic approach for finding the T onset parameter of flatten T wave in ECG
title_fullStr A deterministic approach for finding the T onset parameter of flatten T wave in ECG
title_full_unstemmed A deterministic approach for finding the T onset parameter of flatten T wave in ECG
title_sort deterministic approach for finding the t onset parameter of flatten t wave in ecg
publisher Institute of Information Science, Academia Sinica
publishDate 2019
url http://eprints.um.edu.my/24067/
https://jise.iis.sinica.edu.tw/JISESearch/pages/View/PaperView.jsf?keyId=167_2223
_version_ 1662755218298765312
score 13.211869