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Combining complexity measures of EEG data: multiplying measures reveal previously hidden information
Many studies have noted significant differences among human electroencephalograph (EEG) results when participants or patients are exposed to different stimuli, undertaking different tasks, or being affected by conditions such as epilepsy or Alzheimer's disease. Such studies often use only one o...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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F1000Research
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648221/ https://www.ncbi.nlm.nih.gov/pubmed/26594331 http://dx.doi.org/10.12688/f1000research.6590.1 |