RONZHINA, Marina, Tomas POTOCNAK, Oto JANOUSEK, Jana KOLAROVA, Marie NOVÁKOVÁ and Ivo PROVAZNIK. Spectral and Higher-Order Statistical Analysis of the ECG: Application to the Study of Ischemia in Rabbit Isolated Hearts. In Alan Murray. Computing in Cardiology. Krakow: Computing in Cardiology, 2012. p. 645-648. ISBN 978-1-4673-2074-0.
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Basic information
Original name Spectral and Higher-Order Statistical Analysis of the ECG: Application to the Study of Ischemia in Rabbit Isolated Hearts
Authors RONZHINA, Marina (203 Czech Republic, guarantor), Tomas POTOCNAK (203 Czech Republic), Oto JANOUSEK (203 Czech Republic), Jana KOLAROVA (203 Czech Republic), Marie NOVÁKOVÁ (203 Czech Republic, belonging to the institution) and Ivo PROVAZNIK (203 Czech Republic).
Edition Krakow, Computing in Cardiology, p. 645-648, 4 pp. 2012.
Publisher Computing in Cardiology
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 30105 Physiology
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14110/12:00057829
Organization unit Faculty of Medicine
ISBN 978-1-4673-2074-0
ISSN 2325-8861
UT WoS 000320270700162
Keywords in English Rabbits isolated heart; ischemia; ECG classification; cross spectral coherence; higher-order cumulants; neural network
Tags International impact, Reviewed
Changed by Changed by: prof. MUDr. Marie Nováková, Ph.D., učo 1188. Changed: 21/1/2013 20:42.
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.
GAP102/12/2034, research and development projectName: Analýza vztahu mezi elektrickými ději a průtokem krve u srdečních komor
Investor: Czech Science Foundation
GD102/09/H083, research and development projectName: Informační technologie v biomedicínském inženýrství
Investor: Czech Science Foundation
MUNI/A/0846/2011, interní kód MUName: Studium mechanismů vzniku některých kardiovaskulárních onemocnění (Acronym: SMEKAON)
Investor: Masaryk University, Category A
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