Prediction of heart abnormality using MLP network

Prediction of heart abnormality using MLP network

Heart abnormality does not choose gender, age and races when it strikes. With no warning signs or symptoms, it can result to a sudden death of the patient. Generally, heart's irregular electrical activity is defined as heart abnormality. Via implementation of Multilayer Perceptron (MLP) network...

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Published in:AIP Conference Proceedings
Main Author: Hashim F.R.; Januar Y.; Mat M.H.; Rizman Z.I.; Awang M.K.
Format: Conference paper
Language:English
Published: American Institute of Physics Inc. 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041928852&doi=10.1063%2f1.5022914&partnerID=40&md5=24934a090e063f2f71d6af3525534271
id 2-s2.0-85041928852
spelling 2-s2.0-85041928852
Hashim F.R.; Januar Y.; Mat M.H.; Rizman Z.I.; Awang M.K.
Prediction of heart abnormality using MLP network
2018
AIP Conference Proceedings
1930

10.1063/1.5022914
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041928852&doi=10.1063%2f1.5022914&partnerID=40&md5=24934a090e063f2f71d6af3525534271
Heart abnormality does not choose gender, age and races when it strikes. With no warning signs or symptoms, it can result to a sudden death of the patient. Generally, heart's irregular electrical activity is defined as heart abnormality. Via implementation of Multilayer Perceptron (MLP) network, this paper tries to develop a program that allows the detection of heart abnormality activity. Utilizing several training algorithms with Purelin activation function, an amount of heartbeat signals received through the electrocardiogram (ECG) will be employed to condition the MLP network. © 2018 Author(s).
American Institute of Physics Inc.
0094243X
English
Conference paper
All Open Access; Bronze Open Access
author Hashim F.R.; Januar Y.; Mat M.H.; Rizman Z.I.; Awang M.K.
spellingShingle Hashim F.R.; Januar Y.; Mat M.H.; Rizman Z.I.; Awang M.K.
Prediction of heart abnormality using MLP network
author_facet Hashim F.R.; Januar Y.; Mat M.H.; Rizman Z.I.; Awang M.K.
author_sort Hashim F.R.; Januar Y.; Mat M.H.; Rizman Z.I.; Awang M.K.
title Prediction of heart abnormality using MLP network
title_short Prediction of heart abnormality using MLP network
title_full Prediction of heart abnormality using MLP network
title_fullStr Prediction of heart abnormality using MLP network
title_full_unstemmed Prediction of heart abnormality using MLP network
title_sort Prediction of heart abnormality using MLP network
publishDate 2018
container_title AIP Conference Proceedings
container_volume 1930
container_issue
doi_str_mv 10.1063/1.5022914
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041928852&doi=10.1063%2f1.5022914&partnerID=40&md5=24934a090e063f2f71d6af3525534271
description Heart abnormality does not choose gender, age and races when it strikes. With no warning signs or symptoms, it can result to a sudden death of the patient. Generally, heart's irregular electrical activity is defined as heart abnormality. Via implementation of Multilayer Perceptron (MLP) network, this paper tries to develop a program that allows the detection of heart abnormality activity. Utilizing several training algorithms with Purelin activation function, an amount of heartbeat signals received through the electrocardiogram (ECG) will be employed to condition the MLP network. © 2018 Author(s).
publisher American Institute of Physics Inc.
issn 0094243X
language English
format Conference paper
accesstype All Open Access; Bronze Open Access
record_format scopus
collection Scopus
_version_ 1809677907084181504

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