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Multitaper Infinite Hidden Markov Model for EEG
Electroencephalographam (EEG) monitoring of neural activity is widely used for identifying underlying brain states. For inference of brain states, researchers have often used Hidden Markov Models (HMM) with a fixed number of hidden states and an observation model linking the temporal dynamics embedd...
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| Gepubliceerd in: | Conf Proc IEEE Eng Med Biol Soc |
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| Hoofdauteurs: | , , , , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7029542/ https://ncbi.nlm.nih.gov/pubmed/31947171 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/EMBC.2019.8856817 |
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