Original title:
Classification of Experimental Electrograms
Authors:
Maršánová, L. Document type: Papers
Language:
cze Publisher:
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií Abstract:
The aim of this work was to analyse and classify the experimental electrograms (EG) recording from isolated rabbit hearts during experiments with short repeated global ischemia. The morphological parameters calculated from EG were used as classification features. The discrimination ability of the features was verified and the most relevant features were then chosen to cluster the EGs into three groups (physiological, ischemic, and extrasystols) using k-means method.
Keywords:
clustering; Experimental EG; morphological parameters Host item entry: Proceedings of the 21st Conference STUDENT EEICT 2015, ISBN 978-80-214-5148-3
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/11012/42987