Publication result 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

English Title

Classification of ECG Signals Using Wavelet Transform and Hidden Markov Models

Type

Paper in proceedings (conference paper)

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.

English 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

Released

20.11.2005

Publisher

IFBME

Location

Praha

Book

Proceedings of EMBEC 2005

ISBN

1727-1983

Periodical

IFMBE Proceedings

Volume

3

State

Kingdom of Sweden

Pages from

1

Pages count

4

Full text in the Digital Library

http://hdl.handle.net/

BibTex

@inproceedings{BUT14840,
  author="Dina {Kičmerová} and Jana {Kolářová} and Valentýna {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"
}