Publication detail

Classification of ECG Signals Using Wavelet Transform and Hidden Markov Models

D. Kičmerová, J. Bardoňová and I. Provazník

Original Title

Classification of ECG Signals Using Wavelet Transform and Hidden Markov Models

Type

conference paper

Language

English

Original Abstract

The proposed method uses wavelets for the feature selection and extraction (searching for a local maximum in the contour envelope successfully detects R-peaks) and Hidden Markov models for the classification.

Key words in English

ECG,wavelet,Hidden Markov models

Authors

D. Kičmerová, J. Bardoňová and I. Provazník

RIV year

2005

Released

20. 11. 2005

Publisher

IFBME

Location

Praha

ISBN

1727-1983

Periodical

IFMBE Proceedings

Year of study

3

State

Kingdom of Sweden

Pages from

1

Pages to

4

Pages count

4

BibTex

@inproceedings{BUT14840,
  author="Dina {Kičmerová} and Jana {Kolářová} and Valentine {Provazník}",
  title="Classification of ECG Signals Using Wavelet Transform and Hidden Markov Models",
  booktitle="Proceedings of EMBEC 2005",
  year="2005",
  journal="IFMBE Proceedings",
  volume="3",
  number="11",
  pages="4",
  publisher="IFBME",
  address="Praha",
  issn="1727-1983"
}