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Classification of emotional states from electrocardiogram signals: a non-linear approach based on hurst
BACKGROUND: Identifying the emotional state is helpful in applications involving patients with autism and other intellectual disabilities; computer-based training, human computer interaction etc. Electrocardiogram (ECG) signals, being an activity of the autonomous nervous system (ANS), reflect the u...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2013
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3680185/ https://ncbi.nlm.nih.gov/pubmed/23680041 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1475-925X-12-44 |
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