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Ioannis Pitas (AUTH)
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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.
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