Publication detail

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.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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%.

Keywords

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

Authors

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

RIV year

2012

Released

10. 9. 2012

ISBN

978-1-4673-2076-4

Book

Computing in Cardiology 2012

Pages from

645

Pages to

648

Pages count

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"
}