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Synthetic ECG Generation and Bayesian Filtering Using a Gaussian Wave-Based Dynamical Model
In this paper, we describe a Gaussian wave-based state space to model the temporal dynamics of electrocardiogram (ECG) signals. It is shown that this model may be effectively used for generating synthetic ECGs as well as separate characteristic waves (CWs) such as the atrial and ventricular complexe...
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Главные авторы: | , , |
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Формат: | Artigo |
Язык: | Inglês |
Опубликовано: |
2010
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Предметы: | |
Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3148951/ https://ncbi.nlm.nih.gov/pubmed/20720288 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0967-3334/31/10/002 |
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