MLP Based Tan-Sigmoid Activation Function for Cardiac Activity Monitoring

Abstract

Cardiac abnormalities can occur to everyone, irrespective of race, age or gender. However, family history gives a clear signal of the probable probability of heart failure in the heart. Cardiac abnormalities rarely show early symptoms, thereby contributing to sudden deaths in patients. In general, heartbeat is an irregular electric boost or heart activity. In this paper, an early monitoring system for detecting cardiac abnormalities was conducted using the Multilayer Perceptron (MLP) network. The cardiac abnormalities dataset is taken from the MIT-BIH database used to train the MLP network by using multiple training algorithms with Tan-Sigmoid as an activation function.