Detection of Myocardial Ischemia Using Hidden Markov Models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F03%3APU37251" target="_blank" >RIV/00216305:26220/03:PU37251 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Detection of Myocardial Ischemia Using Hidden Markov Models
Original language description
The paper deals with detection of myocardial ischemia by analysis of electrophysiological changes within QRS complexes of electrocardiograms (ECG). ECG signals were analysed by continuous wavelet transform (CWT). Time- frequency spectra of QRS complexeswere used as an input of a detection system based on hidden Markov models (HMMs). Parameters of the used HMMs were assessed to recommend their optimal values. The presented results show that HMM analysis of ECGs preprocessed by CWT can be used for earlyydetection of myocardial ischemia. Eleven Langendorff perfused rabbit hearts were used to record training and test data to learn Markov models. An average value of resulting sensitivity and specificity of detection system was around 0.9 depending on parameter setting of the models.
Czech name
—
Czech description
—

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)

Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of Annual International Conference IEEE EMBS 2003
ISBN
—
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
Cancun
Event location
Cancun
Event date
Sep 17, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)