Heart abnormality activity detection using multilayer perceptron (MLP) network
Ja’afar Adnan, Norwati Daud, Shahril Ahmad, M. H. Mat, Mohd Taufiq Ishak, Fakroul Ridzuan Hashim, Marc Ibrahim · AIP conference proceedings · 2018
Heart abnormality refers to the irregular electrical activity of the heart. Heart abnormality sometimes does not show any symptom and it is not sensible which may lead to sudden death due to the heart cease functioning. This paper attempts to develop a program that is capable to detect the heart abnormality activity through the implementation of Multilayer Perceptron (MLP). A certain amount of data of the heartbeat signals from electrocardiogram (ECG) will be used in this project to train the MLP network and to test the network performance. The MLP are trained by several techniques which are Backpropagation (BP), Bayesian Regularization (BR) and Levenberg-Marquardt (LM).