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An Evidence-Based Intelligent Method for Upper-Limb Motor Assessment via a VR Training System on Stroke Rehabilitation
Si Huei Lee
, Jianjun Cui
, Lizheng Liu
,
Mu Chun Su
, Lirong Zheng
,
Shih Ching Yeh
資訊工程學系
認知智慧與精準健康照護研究中心
研究成果
:
雜誌貢獻
›
期刊論文
›
同行評審
33
引文 斯高帕斯（Scopus）
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Keyphrases
Accuracy Rate
33%
Assessment for Learning
33%
Assessment Model
66%
Clinical Application
33%
Clinical Trials
33%
Electromyography
33%
Evaluation Scale
100%
Evidence-based
100%
Evidence-based Assessment
33%
Foot Pressure
33%
Fugl-Meyer
33%
Functional Assessment
33%
Intelligent Methods
100%
Large Amount of Data
33%
Limb Motor
100%
Machine Learning
33%
Machine Learning Techniques
33%
Motion Trajectory
66%
Motor Assessment
100%
Motor Learning
66%
Motor Rehabilitation
66%
Multi-model Data
66%
Performance Scale
33%
Sensing Technology
33%
Sensor-based Data
33%
Stroke Patients
33%
Stroke Rehabilitation
100%
Task Performance
33%
Task-based Evaluation
33%
Therapist
33%
Training System
33%
Training Tasks
66%
Upper Limb
100%
Upper Limb Motor Function
33%
Virtual Environment
33%
Virtual Reality
100%
Virtual Reality System
66%
Virtual Reality Training System
100%
Computer Science
Assessment Model
50%
Electromyography
25%
Emerging Technology
25%
Learning System
50%
Machine Learning
50%
Motor Function
25%
Task Performance
25%
Training System
100%
Virtual Environments
25%
Virtual Reality
100%
Virtual Reality System
50%
Psychology
Electromyography
50%
Stroke Patient
50%
Stroke Rehabilitation
100%
Engineering
Learning System
14%
Machine Learning Method
14%
Meyer
14%
Model Data
28%
Motor Function
14%
Virtual Reality
100%
Neuroscience
Cerebrovascular Accident
100%
Electromyography
33%