INIS
classification
66%
hands
66%
accuracy
66%
control
50%
pattern recognition
50%
patients
33%
adults
33%
interfaces
16%
surfaces
16%
information
16%
applications
16%
signals
16%
muscles
16%
motors
16%
extraction
16%
Nursing and Health Professions
Electromyogram
100%
Classification
66%
Cerebral Palsy
66%
Adult
66%
Patient
33%
Classifier
16%
Paresis
16%
Control Strategy
16%
Analysis
16%
Control
16%
Extraction
16%
Medicine and Dentistry
Spastic Diplegia
66%
Accuracy
66%
Pattern Recognition
50%
Patient with Cerebral Palsy
50%
Motor Control
50%
Rehabilitation Engineering
33%
Paresis
16%
Hand Movement
16%
Analysis
16%
Movement (Physiology)
16%
Forearm
16%
Computer Science
Classification Accuracy
50%
Pattern Recognition
50%
Control Strategy
16%
Classification
16%
Classification (Machine Learning)
16%
Control Information
16%
Average Accuracy
16%
Feature Selection
16%
Control
16%
Application
16%
Channels
16%
Neuroscience
Cerebral Palsy
83%
Pattern Recognition
50%
Intention
33%
Psychology
Cerebral Palsy
66%
Pattern Recognition
50%