Throb: system-on-chip based arrhythmia screener with self interpretation / Huey Woan Lim ...[et al.]
This paper presents an in-house design of System-onChip (SoC) based arrhythmia screener, so-called Throb, with selfarrhythmia classification using electrocardiograms (ECG) as the input signal. It is a light-weight, cost effective and equips with intuitive touch screen graphical user interfaces (GU...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
UiTM Press
2015
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/62982/1/62982.pdf https://ir.uitm.edu.my/id/eprint/62982/ https://jeesr.uitm.edu.my/v1/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uitm.ir.62982 |
---|---|
record_format |
eprints |
spelling |
my.uitm.ir.629822022-06-28T09:42:24Z https://ir.uitm.edu.my/id/eprint/62982/ Throb: system-on-chip based arrhythmia screener with self interpretation / Huey Woan Lim ...[et al.] Huey, Woan Lim Mohd Sani, Mohd Syafiq Affendi Hashim, Amin Yuan, Wen Hau Medical technology Computer applications to medicine. Medical informatics Neural Networks (Computer). Artificial intelligence This paper presents an in-house design of System-onChip (SoC) based arrhythmia screener, so-called Throb, with selfarrhythmia classification using electrocardiograms (ECG) as the input signal. It is a light-weight, cost effective and equips with intuitive touch screen graphical user interfaces (GUI) design. It is able to provide early screening of arrhythmias for the public, especially for the small clinics and general hospital in rural area where the specialists or cardiologists are not sufficient to the population. Throb applies knowledge-based classification to identify Premature Ventricular Contraction (PVC), Ventricular Fibrillation (VF), Second Degree Heart Block, and Atrial Fibrillation (AF). The verification input is based on offline ECG dataset obtained from MIT BIH online arrhythmia database. The complete system is implemented on Terasic Video Embedded Evaluation Kit with Multitouch (VEEK-MT) which utilizes the Altera Cyclone IV FPGA chip and capacitive touch screen. This system is also equipped with the ECG acquisition unit to obtain the ECG from the patient as input signal. Result shows that this system is user friendly, and the arrhythmia classification accuracy of PVC is 88.56%, VF is 96.30%, 2nd degree heart block is 85.71% and AF is 86.17%, respectively. UiTM Press 2015-12 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/62982/1/62982.pdf Throb: system-on-chip based arrhythmia screener with self interpretation / Huey Woan Lim ...[et al.]. (2015) Journal of Electrical and Electronic Systems Research (JEESR), 8: 5. pp. 30-36. ISSN 1985-5389 https://jeesr.uitm.edu.my/v1/ |
institution |
Universiti Teknologi Mara |
building |
Tun Abdul Razak Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Mara |
content_source |
UiTM Institutional Repository |
url_provider |
http://ir.uitm.edu.my/ |
language |
English |
topic |
Medical technology Computer applications to medicine. Medical informatics Neural Networks (Computer). Artificial intelligence |
spellingShingle |
Medical technology Computer applications to medicine. Medical informatics Neural Networks (Computer). Artificial intelligence Huey, Woan Lim Mohd Sani, Mohd Syafiq Affendi Hashim, Amin Yuan, Wen Hau Throb: system-on-chip based arrhythmia screener with self interpretation / Huey Woan Lim ...[et al.] |
description |
This paper presents an in-house design of System-onChip (SoC) based arrhythmia screener, so-called Throb, with selfarrhythmia classification using electrocardiograms (ECG) as the
input signal. It is a light-weight, cost effective and equips with
intuitive touch screen graphical user interfaces (GUI) design. It is
able to provide early screening of arrhythmias for the public,
especially for the small clinics and general hospital in rural area
where the specialists or cardiologists are not sufficient to the
population. Throb applies knowledge-based classification to
identify Premature Ventricular Contraction (PVC), Ventricular
Fibrillation (VF), Second Degree Heart Block, and Atrial
Fibrillation (AF). The verification input is based on offline ECG
dataset obtained from MIT BIH online arrhythmia database. The
complete system is implemented on Terasic Video Embedded
Evaluation Kit with Multitouch (VEEK-MT) which utilizes the
Altera Cyclone IV FPGA chip and capacitive touch screen. This
system is also equipped with the ECG acquisition unit to obtain
the ECG from the patient as input signal. Result shows that this
system is user friendly, and the arrhythmia classification accuracy
of PVC is 88.56%, VF is 96.30%, 2nd degree heart block is 85.71%
and AF is 86.17%, respectively. |
format |
Article |
author |
Huey, Woan Lim Mohd Sani, Mohd Syafiq Affendi Hashim, Amin Yuan, Wen Hau |
author_facet |
Huey, Woan Lim Mohd Sani, Mohd Syafiq Affendi Hashim, Amin Yuan, Wen Hau |
author_sort |
Huey, Woan Lim |
title |
Throb: system-on-chip based arrhythmia screener with self interpretation / Huey Woan Lim ...[et al.] |
title_short |
Throb: system-on-chip based arrhythmia screener with self interpretation / Huey Woan Lim ...[et al.] |
title_full |
Throb: system-on-chip based arrhythmia screener with self interpretation / Huey Woan Lim ...[et al.] |
title_fullStr |
Throb: system-on-chip based arrhythmia screener with self interpretation / Huey Woan Lim ...[et al.] |
title_full_unstemmed |
Throb: system-on-chip based arrhythmia screener with self interpretation / Huey Woan Lim ...[et al.] |
title_sort |
throb: system-on-chip based arrhythmia screener with self interpretation / huey woan lim ...[et al.] |
publisher |
UiTM Press |
publishDate |
2015 |
url |
https://ir.uitm.edu.my/id/eprint/62982/1/62982.pdf https://ir.uitm.edu.my/id/eprint/62982/ https://jeesr.uitm.edu.my/v1/ |
_version_ |
1738513996141559808 |
score |
13.18916 |