Evaluating prediction algorithm of malignant ventricular arrythmia for earlier prediction time on heterogenous databases

• Main Author: Mok, William Wen Leng
• Format: Thesis
• Language: English
• Published: 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/99585/1/MokWenLengMSKE2022.pdf; http://eprints.utm.my/id/eprint/99585/; http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149784

Prediction of malignant ventricular arrhythmia (mVA) is utmost imperative to enable earlier medical intervention and prevent sudden cardiac death (SCD). However, patients with a history of coronary artery disease (CAD) and congestive heart failure (CHF) are at higher risk of SCD. This thesis aimed t...