Use of hidden Marcov models for the analysis of multiple lead ECG recordings

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-lea...

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Bibliographic Details
Main Authors: Voudouris, D., Strintzis, M.G., Maglaveras, N., Pappas, C.
Format: Conference Proceeding
Language:English
Subjects:
Automatic speech recognition
Covariance matrix
Electrocardiography
Equations
Hidden Markov models
Laboratories
Multidimensional systems
Probability density function
State estimation
Tin
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Summary: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.< >
DOI:10.1109/CIC.1993.378294