Detail publikace

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

RONZHINA, M. POTOČŇÁK, T. JANOUŠEK, O. KOLÁŘOVÁ, J. NOVÁKOVÁ, M. PROVAZNÍK, I.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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%.

Klíčová slova

Rabbits isolated heart, ischemia, ECG classification, cross spectral coherence, higher-order cumulants, neural network

Autoři

RONZHINA, M.; POTOČŇÁK, T.; JANOUŠEK, O.; KOLÁŘOVÁ, J.; NOVÁKOVÁ, M.; PROVAZNÍK, I.

Rok RIV

2012

Vydáno

10. 9. 2012

ISBN

978-1-4673-2076-4

Kniha

Computing in Cardiology 2012

Strany od

645

Strany do

648

Strany počet

4

BibTex

@inproceedings{BUT93840,
  author="Marina {Filipenská} and Tomáš {Potočňák} and Oto {Janoušek} and Jana {Kolářová} and Marie {Nováková} and Valentine {Provazník}",
  title="Spectral and Higher-Order Statistics Analysis of ECG: Application to Study of Ischemia in Rabbit Isolated Hearts",
  booktitle="Computing in Cardiology 2012",
  year="2012",
  pages="645--648",
  isbn="978-1-4673-2076-4"
}