Cargando…
Classification of Hand Grasp Kinetics and Types Using Movement-Related Cortical Potentials and EEG Rhythms
Detection of single-trial movement intentions from EEG is paramount for brain-computer interfacing in neurorehabilitation. These movement intentions contain task-related information and if this is decoded, the neurorehabilitation could potentially be optimized. The aim of this study was to classify...
Autores principales: | Jochumsen, Mads, Rovsing, Cecilie, Rovsing, Helene, Niazi, Imran Khan, Dremstrup, Kim, Kamavuako, Ernest Nlandu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5603104/ https://www.ncbi.nlm.nih.gov/pubmed/28951736 http://dx.doi.org/10.1155/2017/7470864 |
Ejemplares similares
-
Quantification of Movement-Related EEG Correlates Associated with Motor Training: A Study on Movement-Related Cortical Potentials and Sensorimotor Rhythms
por: Jochumsen, Mads, et al.
Publicado: (2017) -
Comparison of Features for Movement Prediction from Single-Trial Movement-Related Cortical Potentials in Healthy Subjects and Stroke Patients
por: Kamavuako, Ernest Nlandu, et al.
Publicado: (2015) -
Detection of movement-related cortical potentials based on subject-independent training
por: Niazi, Imran Khan, et al.
Publicado: (2013) -
Detection of Error-Related Potentials in Stroke Patients from EEG Using an Artificial Neural Network
por: Usama, Nayab, et al.
Publicado: (2021) -
Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques
por: Zia ur Rehman, Muhammad, et al.
Publicado: (2018)