Abstract
This lecture overviews ECG Signal Analysis as well as other cardiology imaging methods that has many applications in cardiological disorder diagnosis and treatment. It covers the following topics in detail: Background nnowledge of ECG Signals. Issues in ECG Classification. Materials and Machine Learning Methods: Datasets, Data Preprocessing, Feature Selection, Dimensionality Reduction, Machine Learning Classifiers, Validation and Evaluation Analysis of Classifiers. Deep Learning Techniques for ECG Classification. Heart Disease Classification: Cardiac Arrhythmia Classification, Heart Failure Classification, Cardiac Valve Stenosis Classification, Congenital Heart Disease Classification (CHD), Coronary Artery Disease Classification, Blood Pressure Hypertension Classification.
CNN architecture for ECG Signal processing.
ECG signals in cardiac arrhythmias.
ECG-Signal-Analysis-v3.5.1-Summary