ECG print-out features extraction using spatial-oriented image processing techniques

© 2018 Universiti Teknikal Malaysia Melaka. All rights reserved. Analyzing cardiovascular activity of patients using ECG clinical paper printouts requires prior knowledge and practice. This research used spatial-oriented image processing methods for analyzing ECG readings by retrieving only the esse...

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Main Authors: Loresco, Pocholo James M., Africa, Aaron Don M.
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Published: Animo Repository 2018
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1016
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-20152023-01-16T06:25:05Z ECG print-out features extraction using spatial-oriented image processing techniques Loresco, Pocholo James M. Africa, Aaron Don M. © 2018 Universiti Teknikal Malaysia Melaka. All rights reserved. Analyzing cardiovascular activity of patients using ECG clinical paper printouts requires prior knowledge and practice. This research used spatial-oriented image processing methods for analyzing ECG readings by retrieving only the essential features, and not all ECG data, to assist physicians in diagnosis. Different values such as Atrial (rate/min) and Ventricular (rate/min), QRS interval (sec), QT interval (sec), QTc (sec), and PR interval (sec) were successfully extracted with indication as to whether the values are within the accepted normal values, given the patient’s gender and age. Performance of the system was tested based on accuracy, RMSE and normalized RMSE. The methodology achieved average accuracy as high as 95.424 % while the PR interval feature extraction achieved a relatively low average accuracy of 87.196%. 2018-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/1016 Faculty Research Work Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
description © 2018 Universiti Teknikal Malaysia Melaka. All rights reserved. Analyzing cardiovascular activity of patients using ECG clinical paper printouts requires prior knowledge and practice. This research used spatial-oriented image processing methods for analyzing ECG readings by retrieving only the essential features, and not all ECG data, to assist physicians in diagnosis. Different values such as Atrial (rate/min) and Ventricular (rate/min), QRS interval (sec), QT interval (sec), QTc (sec), and PR interval (sec) were successfully extracted with indication as to whether the values are within the accepted normal values, given the patient’s gender and age. Performance of the system was tested based on accuracy, RMSE and normalized RMSE. The methodology achieved average accuracy as high as 95.424 % while the PR interval feature extraction achieved a relatively low average accuracy of 87.196%.
format text
author Loresco, Pocholo James M.
Africa, Aaron Don M.
spellingShingle Loresco, Pocholo James M.
Africa, Aaron Don M.
ECG print-out features extraction using spatial-oriented image processing techniques
author_facet Loresco, Pocholo James M.
Africa, Aaron Don M.
author_sort Loresco, Pocholo James M.
title ECG print-out features extraction using spatial-oriented image processing techniques
title_short ECG print-out features extraction using spatial-oriented image processing techniques
title_full ECG print-out features extraction using spatial-oriented image processing techniques
title_fullStr ECG print-out features extraction using spatial-oriented image processing techniques
title_full_unstemmed ECG print-out features extraction using spatial-oriented image processing techniques
title_sort ecg print-out features extraction using spatial-oriented image processing techniques
publisher Animo Repository
publishDate 2018
url https://animorepository.dlsu.edu.ph/faculty_research/1016
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