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Detail publikace
BARDOŇOVÁ, J., PROVAZNÍK, I.
Originální název
The Number of States of the Hidden Markov Model in ECG Signal Processing
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
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.
Klíčová slova v angličtině
Electrocardiographic signal, wavelet transform, vector quantization, hidden Markov model
Autoři
Rok RIV
2002
Vydáno
23. 10. 2002
Nakladatel
Západočeská Univerzita
Místo
Plzeň
ISBN
80-7082-904-4
Kniha
Elektrotechnika a informatika 2002
Strany od
95
Strany do
98
Strany počet
4
BibTex
@inproceedings{BUT5447, author="Jana {Kolářová} and Valentine {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" }