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Identifying ECG Clusters in Congenital Heart Disease
This thesis presents a method of clustering ECG morphologies for the identification of individual ECG features in congenital heart disease. Clustering is performed on the computed heart dipole moment magnitude using k-medoids ...
Subset Selection and Feature Identification in the Electrocardiogram
Each feature in the electrocardiogram (ECG) corresponds to a different part of the cardiac cycle. Tracking changes in these features over long periods of time can offer insight regarding changes in a patient's clinical ...