The Number of States of the Hidden Markov Model in ECG Signal Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F02%3APU29414" target="_blank" >RIV/00216305:26220/02:PU29414 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Number of States of the Hidden Markov Model in ECG Signal Processing
Original language description
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 studyy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA102%2F01%2F1494" target="_blank" >GA102/01/1494: Optical recording of action potentials and its application in cardiology</a><br>
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2002
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Elektrotechnika a informatika 2002
ISBN
80-7082-904-4
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
95-98
Publisher name
Západočeská Univerzita
Place of publication
Plzeň
Event location
Zámek Nečtiny
Event date
Oct 23, 2002
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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