Prediction of ventricular fibrillation using support vector machine

• Main Authors: Heng, Wei Wei, Su, Eileen Lee Ming, Jamaluddin, Ahmad Nizar, Che Harun, Fauzan Khairi, Abdul Kadir, Nurul Ashikin, Che, Fai Yeong
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/92276/1/EileenSu2020_PredictionofVentricularFibrillationUsingSupport.pdf; http://eprints.utm.my/id/eprint/92276/; http://dx.doi.org/10.1088/1757-899X/884/1/012008

Sudden cardiac death (SCD) remains one of the top causes of high mortality rate. Early prediction of ventricular fibrillation (VF), and hence SCD, can improve the survival chance of a patient by enabling earlier treatment. Heart rate variability analysis (HRV) has been widely adopted by the research...