MATEC Web Conf.
Volume 255, 2019Engineering Application of Artificial Intelligence Conference 2018 (EAAIC 2018)
|Number of page(s)||5|
|Section||Medical, Material and Social Service|
|Published online||16 January 2019|
MLP Based Tan-Sigmoid Activation Function for Cardiac Activity Monitoring
1 Department of Electrical & Electronic Engineering, Faculty of Engineering, National Defense University of Malaysia
2 Department of Electrical Engineering, Politeknik Tuanku Syed Sirajuddin, Putra Pauh, Perlis, Malaysia
* Corresponding author: firstname.lastname@example.org
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.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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