Makara Journal of Technology
Vol. 20, No. 2

Automatic Arrhythmia Beat Detection: Algorithm, System, and Implementation

Jatmiko, Wisnu (Unknown)
Setiawan, I Md. Agus (Unknown)
Akbar, Muhammad Ali (Unknown)
Suryana, Muhammad Eka (Unknown)
Wardhana, Yulistiyan (Unknown)
Rachmadi, Muhammad Febrian (Unknown)

Article Info

Publish Date
02 Aug 2016

Abstract

Cardiac disease is one of the major causes of death in the world. Early diagnose of the symptoms depends on abnormality on heart beat pattern, known as Arrhythmia. A novel fuzzy neuro generalized learning vector quantization for automatic Arrhythmia heart beat classification is proposed. The algorithm is an extension from the GLVQ algorithm that employs a fuzzy logic concept as the discriminant function in order to develop a robust algorithm and improve the classification performance. The algorithm is tested against MIT-BIH arrhythmia database to measure the performance. Based on the experiment result, FN-GLVQ is able to increase the accuracy of GLVQ by a soft margin. As we intend to build a device with automated Arrhythmia detection, FN-GLVQ is then implemented into Field Gate Programmable Array to prototype the system into a real device.

Copyrights © 2016




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Journal Info
Makara Journal of Technology
Website

Abbrev

publication:mjt

Publisher

Universitas Indonesia

Subject

Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

Description

MAKARA Journal of Technology is a peer-reviewed multidisciplinary journal committed to the advancement of scholarly knowledge and research findings of the several branches of Engineering and Technology. The Journal publishes new results, original articles, reviews, and research notes whose content ...