Detail publikačního výsledku

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

Anglický název

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

Druh

Stať ve sborníku v databázi WoS či Scopus

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%.

Anglický 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

Klíčová slova v angličtině

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

2013

Vydáno

10.09.2012

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 Valentýna {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"
}