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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Bibliographic Details
Main Authors: Adnan J. (Author), Ahmad K.A (Author), Awang, M.K (Author), Din M.F.M (Author), Hashim F.R (Author), Hashim, F.R (Author), Ishak M.T (Author), Januar, Y. (Author), Jusoh M.T (Author), Mat, M.H (Author), Rizman Z.I (Author), Rizman, Z.I (Author), Shahimin M.M (Author)
Format: Article
Language:English
Published: American Institute of Physics Inc. 2018
Online Access:View Fulltext in Publisher
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Description
Summary: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).
ISBN:0094243X (ISSN); 9780735416222 (ISBN)
DOI:10.1063/1.5022914

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