Cargando…
EEG-based trial-by-trial texture classification during active touch
Trial-by-trial texture classification analysis and identifying salient texture related EEG features during active touch that are minimally influenced by movement type and frequency conditions are the main contributions of this work. A total of twelve healthy subjects were recruited. Each subject was...
Autores principales: | Eldeeb, Safaa, Weber, Douglas, Ting, Jordyn, Demir, Andac, Erdogmus, Deniz, Akcakaya, Murat |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699648/ https://www.ncbi.nlm.nih.gov/pubmed/33247177 http://dx.doi.org/10.1038/s41598-020-77439-7 |
Ejemplares similares
-
Trial by trial EEG based BCI for distress versus non distress classification in individuals with ASD
por: Eldeeb, Safaa, et al.
Publicado: (2021) -
Feedback Related Potentials for EEG-Based Typing Systems
por: Gonzalez-Navarro, Paula, et al.
Publicado: (2022) -
Quantitative EEG Changes in Youth With ASD Following Brief Mindfulness Meditation Exercise
por: Susam, Busra T., et al.
Publicado: (2022) -
Neural correlates of perceptual texture change during active touch
por: Henderson, Jessica, et al.
Publicado: (2023) -
Quantitative change of EEG and respiration signals during mindfulness meditation
por: Ahani, Asieh, et al.
Publicado: (2014)