Determining User Intent of Partly Dynamic Shoulder Tasks in Individuals with Chronic Stroke Using Pattern Recognition

INIS

• control 100%
• data 66%
• levels 66%
• performance 66%
• sensors 66%
• pattern recognition 66%
• degrees of freedom 66%
• therapy 33%
• interactions 33%
• devices 33%
• datasets 33%
• dynamics 33%
• muscles 33%
• optimization 33%
• limbs 33%
• accuracy 33%
• fingers 33%
• rotation 33%
• minimization 33%
• robots 33%
• exoskeleton 33%
• torque 33%

Computer Science

• Abduction 100%
• Classification (Machine Learning) 100%
• User 66%
• Intents 66%
• Pattern Recognition 66%
• Sensor 66%
• Optimization 33%
• Electromyography 33%
• Healthy Control 33%
• User Interaction 33%
• Active Control 33%
• Control 33%
• Accuracy 33%
• Robotics 33%
• Robot 33%

Nursing and Health Professions

• Classifier 100%
• Control 100%
• Robotics 66%
• Sensor 66%
• Disability 33%
• Rehabilitation Engineering 33%
• Combination Therapy 33%
• Electromyography 33%
• Electromyogram 33%
• Procedures 33%
• Weakness 33%
• Exoskeleton (Rehabilitation) 33%