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@inproceedings{1074269, author = {Ronzhina, Marina and Potocnak, Tomas and Janousek, Oto and Kolarova, Jana and Nováková, Marie and Provaznik, Ivo}, address = {Krakow}, booktitle = {Computing in Cardiology}, editor = {Alan Murray}, keywords = {Rabbits isolated heart; ischemia; ECG classification; cross spectral coherence; higher-order cumulants; neural network}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Krakow}, isbn = {978-1-4673-2074-0}, pages = {645-648}, publisher = {Computing in Cardiology}, title = {Spectral and Higher-Order Statistical Analysis of the ECG: Application to the Study of Ischemia in Rabbit Isolated Hearts}, url = {http://cinc.mit.edu/archives/2012/pdf/0645.pdf}, year = {2012} }
TY - JOUR ID - 1074269 AU - Ronzhina, Marina - Potocnak, Tomas - Janousek, Oto - Kolarova, Jana - Nováková, Marie - Provaznik, Ivo PY - 2012 TI - Spectral and Higher-Order Statistical Analysis of the ECG: Application to the Study of Ischemia in Rabbit Isolated Hearts PB - Computing in Cardiology CY - Krakow SN - 9781467320740 KW - Rabbits isolated heart KW - ischemia KW - ECG classification KW - cross spectral coherence KW - higher-order cumulants KW - neural network UR - http://cinc.mit.edu/archives/2012/pdf/0645.pdf L2 - http://cinc.mit.edu/archives/2012/pdf/0645.pdf N2 - There are many different approaches for heart beat classification. Probably the main task is extraction of relevant features from the beat. The present paper is focused on the study of ECG cross spectral coherence and higher-order cumulants and their ability to classify normal and ischemic cardiac beats. Using these parameters as the input for neural network classifier allows achieving classification error only 4%. Thus, they can be successfully used to solve this task. ER -
RONZHINA, Marina, Tomas POTOCNAK, Oto JANOUSEK, Jana KOLAROVA, Marie NOVÁKOVÁ a Ivo PROVAZNIK. Spectral and Higher-Order Statistical Analysis of the ECG: Application to the Study of Ischemia in Rabbit Isolated Hearts. In Alan Murray. \textit{Computing in Cardiology}. Krakow: Computing in Cardiology. s.~645-648. ISBN~978-1-4673-2074-0. 2012.
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