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Publication detail
BARDOŇOVÁ, J., PROVAZNÍK, I.
Original Title
The Number of States of the Hidden Markov Model in ECG Signal Processing
Type
conference paper
Language
English
Original Abstract
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.
Key words in English
Electrocardiographic signal, wavelet transform, vector quantization, hidden Markov model
Authors
RIV year
2002
Released
23. 10. 2002
Publisher
Západočeská Univerzita
Location
Plzeň
ISBN
80-7082-904-4
Book
Elektrotechnika a informatika 2002
Pages from
95
Pages to
98
Pages count
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" }