• Title of article

    Throb: System-on-Chip based Arrhythmia Screener with Self Interpretation

  • Author/Authors

    Lim, Huey Woan Universiti Teknologi Malaysia - Faculty of Biosciences and Medical Engineering, Malaysia , bin Mohd Sani, Mohd Syafiq Affendi Universiti Teknologi Malaysia - Faculty of Biosciences and Medical Engineering, Malaysia , Hashim, Amin Universiti Teknologi Malaysia - Faculty of Electrical Engineering, Malaysia , Hau, Yuan Wen Universiti Teknologi Malaysia - Faculty of Biosciences and Medical Engineering, IJN-UTM Cardiovascular Engineering Centre, Malaysia

  • From page
    30
  • To page
    36
  • Abstract
    This paper presents an in-house design of System-on- Chip (SoC) based arrhythmia screener, so-called Throb, with selfarrhythmia classification using electrocardiograms (ECG) as the input signal. It is a light-weight, cost effective and equips with intuitive touch screen graphical user interfaces (GUI) design. It is able to provide early screening of arrhythmias for the public, especially for the small clinics and general hospital in rural area where the specialists or cardiologists are not sufficient to the population. Throb applies knowledge-based classification to identify Premature Ventricular Contraction (PVC), Ventricular Fibrillation (VF), Second Degree Heart Block, and Atrial Fibrillation (AF). The verification input is based on offline ECG dataset obtained from MIT BIH online arrhythmia database. The complete system is implemented on Terasic Video Embedded Evaluation Kit with Multitouch (VEEK-MT) which utilizes the Altera Cyclone IV FPGA chip and capacitive touch screen. This system is also equipped with the ECG acquisition unit to obtain the ECG from the patient as input signal. Result shows that this system is user friendly, and the arrhythmia classification accuracy of PVC is 88.56%, VF is 96.30%, 2nd degree heart block is 85.71% and AF is 86.17%, respectively.
  • Keywords
    Arrhythmia , Electrocardiogram (ECG) , Field Programmable Gate Array (FPGA) , Knowledge , based Classification , System , on , Chip (SoC).
  • Journal title
    International Journal Of Electrical an‎d Electronic Systems Research
  • Journal title
    International Journal Of Electrical an‎d Electronic Systems Research
  • Record number

    2603557