SOC-BASED BIOMEDICAL EMBEDDED SYSTEM DESIGN OF ARRHYTHMIA DETECTOR

Authors

  • Kui Lin Kam IJN-UTM Cardiovascular Engineering Centre, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
  • Tze Weng Ow Faculty of Electrical Engineering, Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Malaysia
  • Wan Yong Chia Faculty of Electrical Engineering, Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Malaysia
  • Rabia Bakhteri Sightline Innovation Inc, Winnipeg, Manitoba, Canada
  • Norhafizah Ramli Faculty of Electrical Engineering, Universiti Teknologi Malaysia 81310 UTM Johor Bahru, Malaysia
  • Yuan Wen Hau IJN-UTM Cardiovascular Engineering Centre, Faculty of Biosciences and Medical Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia

DOI:

https://doi.org/10.11113/jt.v78.9459

Keywords:

Arrhythmia, electrocardiogram (ECG), Graphical User Interface (GUI), knowledge-based classifier, System-on-Chip (SoC)

Abstract

Arrhythmia is an irregular heartbeat where the blood may not be delivered effectively throughout the body and cause sudden cardiac arrest (SCA). Immediate treatment is required to prevent SCA. However, most of the existing electrocardiogram (ECG) monitoring devices are bulky, cost expensive and lack arrhythmia detection and classification system. This paper proposes a front-end on-board graphical interface design of System-on-Chip (SoC) based arrhythmia detector which can be used as a first screening device for cardiac disease patient. The system consists of a knowledge-based arrhythmia classifier which is able to identify three types of arrhythmias which are ventricular fibrillation (VF), premature ventricular contractions (PVCs) and second-degree atrioventricular (AV) block. The system has been evaluated and benchmarked with ECG data from MIT-BIH arrhythmia database. The results show that its accuracy is up to 99.25% with a computation time of 6.385 seconds. It is highly portable and relatively inexpensive for installation in small clinics and home monitoring.  

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Published

2016-07-26

Issue

Section

Science and Engineering

How to Cite

SOC-BASED BIOMEDICAL EMBEDDED SYSTEM DESIGN OF ARRHYTHMIA DETECTOR. (2016). Jurnal Teknologi, 78(7-5). https://doi.org/10.11113/jt.v78.9459