Original title: Clustering Of Ecg Cycles
Authors: Ředina, Richard
Document type: Papers
Language: cze
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: The study is focused on a design of a reliable approach for ECG cycles clustering. It would be helpful for automatic assessment of various pathological patterns in ECG. Proposed method was tested and tuned on real data from ambulatory ECG database. The algorithm comprises ECG preprocessing, adjustment of R-peak positions available in database, creation of a template cycle, computation of features mainly representing correlation between particular cycles and the template, and, clustering of cycles within ECG via k-means. The appropriate number of clusters is derived via analysis of silhouette values. Resulting success of the algorithm in comparison with available manual scoring is: Sensitivity = 0.55 and Specificity=0.94.
Keywords: cardiac arrhythmias; cluster analysis; correlation; ECG; k-means; QRS complex; silhouette
Host item entry: Proceedings of the 25st Conference STUDENT EEICT 2019, ISBN 978-80-214-5735-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/186613

Permalink: http://www.nusl.cz/ntk/nusl-414515


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