Detail publikačního výsledku

The Number of States of the Hidden Markov Model in ECG Signal Processing

BARDOŇOVÁ, J., PROVAZNÍK, I.

Originální název

The Number of States of the Hidden Markov Model in ECG Signal Processing

Anglický název

The Number of States of the Hidden Markov Model in ECG Signal Processing

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

In the study, an influence of the number of states of a hidden Markov model on recognition efficiency was examined. The model was used for detection of acute myocardial ischemia from ECG signals. The time-frequency wavelet transform was applied to preprocess the recorded data. Thus, HMMs were able to recognize subtle electrophysiological changes caused by ischemia. The models with selected number of states were tested on signals from 10 experiments. An optimal number of states K=3 was found in the study.

Anglický abstrakt

In the study, an influence of the number of states of a hidden Markov model on recognition efficiency was examined. The model was used for detection of acute myocardial ischemia from ECG signals. The time-frequency wavelet transform was applied to preprocess the recorded data. Thus, HMMs were able to recognize subtle electrophysiological changes caused by ischemia. The models with selected number of states were tested on signals from 10 experiments. An optimal number of states K=3 was found in the study.

Klíčová slova v angličtině

Electrocardiographic signal, wavelet transform, vector quantization, hidden Markov model

Autoři

BARDOŇOVÁ, J., PROVAZNÍK, I.

Vydáno

23.10.2002

Nakladatel

Západočeská Univerzita

Místo

Plzeň

ISBN

80-7082-904-4

Kniha

Elektrotechnika a informatika 2002

Strany od

95

Strany počet

4

BibTex

@inproceedings{BUT5447,
  author="Jana {Kolářová} and Valentýna {Provazník}",
  title="The Number of States of the Hidden Markov Model in ECG Signal Processing",
  booktitle="Elektrotechnika a informatika 2002",
  year="2002",
  pages="4",
  publisher="Západočeská Univerzita",
  address="Plzeň",
  isbn="80-7082-904-4"
}