Spectral and Higher-Order Statistical Analysis of the ECG: Application to the Study of Ischemia in Rabbit Isolated Hearts

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Authors	RONZHINA Marina POTOCNAK Tomas JANOUSEK Oto KOLAROVA Jana NOVÁKOVÁ Marie PROVAZNIK Ivo
Year of publication	2012
Type	Article in Proceedings
Conference	Computing in Cardiology
MU Faculty or unit	Faculty of Medicine
Citation
Web	http://cinc.mit.edu/archives/2012/pdf/0645.pdf
Field	Physiology
Keywords	Rabbits isolated heart; ischemia; ECG classification; cross spectral coherence; higher-order cumulants; neural network
Attached files	Ronzhina.pdf
Description	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.
Related projects:	Informační technologie v biomedicínckém inženýrství Studium mechanismů vzniku některých kardiovaskulárních onemocnění Analýza vztahu mezi elektrickými ději a průtokem krve u srdečních komor