Title:A Review of Feature Extraction from ECG Signals and Classification/ Detection for Ventricular Arrhythmias
Volume: 14
Issue: 1
Author(s): Rajeshwari M. R*Kavitha K. S
Affiliation:
- Department of Computer Science, Ghousia College of Engineering, Ramanagara, Karnataka,India
Keywords:
Electrocardiogram (ECG), Sudden Cardiac Death (SCD), Ventricular Tachycardia (VT), Power Line Interference
(PLI), Ventricular Fibrillation (VF), Fractional Power Pole (FPP).
Abstract: High cholesterol, high blood pressure, diabetes, depression, obesity, smoking, poor diet,
alcohol consumption, and no exercise are literally the major causes which have taken the life of
many people in the world. All the parameters effect is the major slow points for Sudden Cardiac
Death (SCD). As per the surveys conducted, there are 1 in 4 deaths caused due to a heart attack in
the U.S alone. Ventricular Tachycardia (VT) is the deadly arrhythmias which can lead to SCD. Prediction
of SCD using ECG signal derivative is a popular area of research. There are many papers
published in this research. The recent development of a new algorithm on this topic helps to further
research. In this work, we perform the overview of the ECG signal which is a way of measuring
heartbeat rate and other features. Feature extraction of content areas in ECG and Classification algorithms
for VF. We would see technique and methods based on ECG signal derivative by research in
order to detect and predict SCD.
