Detail publikace

Classification of ECG Signals Using Wavelet Transform and Hidden Markov Models

Originální název

Classification of ECG Signals Using Wavelet Transform and Hidden Markov Models

Anglický název

Classification of ECG Signals Using Wavelet Transform and Hidden Markov Models

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inproceedings{BUT14840,
  author="Dina {Kičmerová} and Jana {Kolářová} and Ivo {Provazník}",
  title="Classification of ECG Signals Using Wavelet Transform and Hidden Markov Models",
  annote="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.",
  address="IFBME",
  booktitle="Proceedings of EMBEC 2005",
  chapter="14840",
  institution="IFBME",
  journal="IFMBE Proceedings",
  year="2005",
  month="november",
  pages="1",
  publisher="IFBME",
  type="conference paper"
}