Cargando…
Gesture Decoding Using ECoG Signals from Human Sensorimotor Cortex: A Pilot Study
Electrocorticography (ECoG) has been demonstrated as a promising neural signal source for developing brain-machine interfaces (BMIs). However, many concerns about the disadvantages brought by large craniotomy for implanting the ECoG grid limit the clinical translation of ECoG-based BMIs. In this stu...
Autores principales: | Li, Yue, Zhang, Shaomin, Jin, Yile, Cai, Bangyu, Controzzi, Marco, Zhu, Junming, Zhang, Jianmin, Zheng, Xiaoxiang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5605870/ https://www.ncbi.nlm.nih.gov/pubmed/29104374 http://dx.doi.org/10.1155/2017/3435686 |
Ejemplares similares
-
Give me a sign: decoding four complex hand gestures based on high-density ECoG
por: Bleichner, M. G., et al.
Publicado: (2014) -
Mapping ECoG channel contributions to trajectory and muscle activity prediction in human sensorimotor cortex
por: Nakanishi, Yasuhiko, et al.
Publicado: (2017) -
Prediction of Three-Dimensional Arm Trajectories Based on ECoG Signals Recorded from Human Sensorimotor Cortex
por: Nakanishi, Yasuhiko, et al.
Publicado: (2013) -
Decoding onset and direction of movements using Electrocorticographic (ECoG) signals in humans
por: Wang, Zuoguan, et al.
Publicado: (2012) -
Decoding Finger Flexion from Band-Specific ECoG Signals in Humans
por: Liang, Nanying, et al.
Publicado: (2012)