Time series analysis of ECG for PVC detection
This report aims at analyzing ECG signal to extract various features and then classifying the beats as PVC/ normal/ others based on these characteristic features of ECG component waves namely QRS complex, P and T wave.
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2008
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Online Access: | http://hdl.handle.net/10356/2394 |
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sg-ntu-dr.10356-23942023-03-04T00:29:30Z Time series analysis of ECG for PVC detection Misra, Sabita. Kwoh, Chee Keong School of Computer Engineering Krishnan, Shankar Muthu DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences This report aims at analyzing ECG signal to extract various features and then classifying the beats as PVC/ normal/ others based on these characteristic features of ECG component waves namely QRS complex, P and T wave. Master of Engineering (SAS) 2008-09-17T09:02:06Z 2008-09-17T09:02:06Z 2001 2001 Thesis http://hdl.handle.net/10356/2394 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences Misra, Sabita. Time series analysis of ECG for PVC detection |
description |
This report aims at analyzing ECG signal to extract various features and then classifying the beats as PVC/ normal/ others based on these characteristic features of ECG component waves namely QRS complex, P and T wave. |
author2 |
Kwoh, Chee Keong |
author_facet |
Kwoh, Chee Keong Misra, Sabita. |
format |
Theses and Dissertations |
author |
Misra, Sabita. |
author_sort |
Misra, Sabita. |
title |
Time series analysis of ECG for PVC detection |
title_short |
Time series analysis of ECG for PVC detection |
title_full |
Time series analysis of ECG for PVC detection |
title_fullStr |
Time series analysis of ECG for PVC detection |
title_full_unstemmed |
Time series analysis of ECG for PVC detection |
title_sort |
time series analysis of ecg for pvc detection |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/2394 |
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1759855752744271872 |