Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke.
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Current Trends in Robot-Assisted Upper-Limb Stroke Rehabilitation: Promoting Patient Engagement in Therapy.Factors of Influence on the Performance of a Short-Latency Non-Invasive Brain Switch: Evidence in Healthy Individuals and Implication for Motor Function Rehabilitation.Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors.Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent.EEG neural correlates of goal-directed movement intention.Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial.
P2860
Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke.
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2014 nî lūn-bûn
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2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
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2014 թվականի հունվարին հրատարակված գիտական հոդված
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2014年の論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年論文
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2014年论文
@wuu
name
Detecting movement intent from ...... abilitation system for stroke.
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Detecting movement intent from ...... abilitation system for stroke.
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type
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Detecting movement intent from ...... abilitation system for stroke.
@ast
Detecting movement intent from ...... abilitation system for stroke.
@en
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Detecting movement intent from ...... abilitation system for stroke.
@ast
Detecting movement intent from ...... abilitation system for stroke.
@en
P2093
P2860
P1476
Detecting movement intent from ...... habilitation system for stroke
@en
P2093
Gerard E Francisco
James French
Marcia K O'Malley
Nikunj A Bhagat
Nuray Yozbatiran
P2860
P304
P356
10.1109/EMBC.2014.6944532
P407
P577
2014-01-01T00:00:00Z