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Modelling temporal evolution of cardiac electrophysiological features using Hidden Semi-Markov Models
This paper presents a new method to analyse cardiac electrophysiological dynamics. It aims to classify or to cluster (i.e. to find natural groups) patients according to the dynamics of features extracted from their ECG. In this work, the dynamics of the features are modelled with Continuous Density...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE Service Center
2008
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2929400/ https://ncbi.nlm.nih.gov/pubmed/19162619 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/IEMBS.2008.4649116 |
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