Efficient QRS complex detection algorithm implementation on SOC-based embedded system
This paper studies two different Electrocardiography ( ECG ) preprocessing algorithms , namely Pan and Tompkins (PT) and Derivative Based (DB) algorithm, which is crucial of QRS complex detection in cardiovascular disease detection . Both algorithms are compared in terms of QRS dete...
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Online Access: | http://eprints.utm.my/id/eprint/68492/1/MuhammadAminHashim2016_EfficientQRSComplexDetectionAlgorithm.pdf http://eprints.utm.my/id/eprint/68492/ http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/9450 |
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my.utm.684922017-11-14T06:23:13Z http://eprints.utm.my/id/eprint/68492/ Efficient QRS complex detection algorithm implementation on SOC-based embedded system Hashim, Muhammad Amin Hau, Yuan Wen Bakhteri, Rabia TK Electrical engineering. Electronics Nuclear engineering R Medicine This paper studies two different Electrocardiography ( ECG ) preprocessing algorithms , namely Pan and Tompkins (PT) and Derivative Based (DB) algorithm, which is crucial of QRS complex detection in cardiovascular disease detection . Both algorithms are compared in terms of QRS detection accuracy and computation timing performance , with implementation on System - on - C hip (SoC) based embedded system that prototype on Altera DE2 - 115 Field Programmable Gate Array (FPGA) platform as embedded software . Both algorithm s are tested with 30 minutes ECG data from each of 48 different patient records obtain from MIT - BIH arrhythmia database. Results show that PT algorithm achieve 98.15% accuracy with 56. 33 seconds computation while DB algorithm achieve 96.74% with only 22. 14 seconds processing time. Based on the study, an optimized PT algorithm with improvement on Moving Windows Integrator (MWI) has been proposed to accelerate its computation. Result show s that the proposed optimized Moving Windows Integrator algorithm achieve s 9.5 times speed up than original MWI while retaining its QRS detection accuracy. Penerbit UTM Press 2016-01-07 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/68492/1/MuhammadAminHashim2016_EfficientQRSComplexDetectionAlgorithm.pdf Hashim, Muhammad Amin and Hau, Yuan Wen and Bakhteri, Rabia (2016) Efficient QRS complex detection algorithm implementation on SOC-based embedded system. Jurnal Teknologi, 78 (7-5). pp. 49-58. ISSN 0127-9696 http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/9450 |
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TK Electrical engineering. Electronics Nuclear engineering R Medicine Hashim, Muhammad Amin Hau, Yuan Wen Bakhteri, Rabia Efficient QRS complex detection algorithm implementation on SOC-based embedded system |
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This paper studies two different Electrocardiography ( ECG ) preprocessing algorithms , namely Pan and Tompkins (PT) and Derivative Based (DB) algorithm, which is crucial of QRS complex detection in cardiovascular disease detection . Both algorithms are compared in terms of QRS detection accuracy and computation timing performance , with implementation on System - on - C hip (SoC) based embedded system that prototype on Altera DE2 - 115 Field Programmable Gate Array (FPGA) platform as embedded software . Both algorithm s are tested with 30 minutes ECG data from each of 48 different patient records obtain from MIT - BIH arrhythmia database. Results show that PT algorithm achieve 98.15% accuracy with 56. 33 seconds computation while DB algorithm achieve 96.74% with only 22. 14 seconds processing time. Based on the study, an optimized PT algorithm with improvement on Moving Windows Integrator (MWI) has been proposed to accelerate its computation. Result show s that the proposed optimized Moving Windows Integrator algorithm achieve s 9.5 times speed up than original MWI while retaining its QRS detection accuracy. |
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Article |
author |
Hashim, Muhammad Amin Hau, Yuan Wen Bakhteri, Rabia |
author_facet |
Hashim, Muhammad Amin Hau, Yuan Wen Bakhteri, Rabia |
author_sort |
Hashim, Muhammad Amin |
title |
Efficient QRS complex detection algorithm implementation on SOC-based embedded system |
title_short |
Efficient QRS complex detection algorithm implementation on SOC-based embedded system |
title_full |
Efficient QRS complex detection algorithm implementation on SOC-based embedded system |
title_fullStr |
Efficient QRS complex detection algorithm implementation on SOC-based embedded system |
title_full_unstemmed |
Efficient QRS complex detection algorithm implementation on SOC-based embedded system |
title_sort |
efficient qrs complex detection algorithm implementation on soc-based embedded system |
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Penerbit UTM Press |
publishDate |
2016 |
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http://eprints.utm.my/id/eprint/68492/1/MuhammadAminHashim2016_EfficientQRSComplexDetectionAlgorithm.pdf http://eprints.utm.my/id/eprint/68492/ http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/9450 |
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13.18916 |