DocumentCode
2464130
Title
Use of hidden Marcov models for the analysis of multiple lead ECG recordings
Author
Voudouris, D. ; Strintzis, MG ; Maglaveras, N. ; Pappas, C.
Author_Institution
Dept. of Electr. Eng., Aristotelian Univ. of Thessaloniki, Greece
fYear
1993
fDate
5-8 Sep 1993
Firstpage
899
Lastpage
902
Abstract
A new hidden Marcov model (HMM) structure with vector-valued observation sequences is developed for the characterization of cardiac arrhythmias and other irregularities in multiple-lead ECG recordings. An analysis procedure is then proposed which generalises the HMM analysis developed for single-lead ECGs
Keywords
electrocardiography; hidden Markov models; medical signal processing; cardiac arrhythmias characterization; cardiac irregularities; hidden Marcov models; multiple lead ECG recordings analysis; single-lead ECGs; vector-valued observation sequences; Automatic speech recognition; Covariance matrix; Electrocardiography; Equations; Hidden Markov models; Laboratories; Multidimensional systems; Probability density function; State estimation; Tin;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 1993, Proceedings.
Conference_Location
London
Print_ISBN
0-8186-5470-8
Type
conf
DOI
10.1109/CIC.1993.378294
Filename
378294
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