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Keyphrases
Multiple Fingers
100%
Decoder
100%
Force Prediction
100%
Internet of Medical Things
100%
Finger Force
66%
Maximum Force
66%
Neural Drive
66%
Neural Decoder
66%
Background Noise
33%
Computation Time
33%
Health Status
33%
Muscle Strength
33%
Complex Procedure
33%
Root Mean Square Error
33%
Time Application
33%
Probability Threshold
33%
Source Noise
33%
Robust Performance
33%
Unsupervised Method
33%
Pearson Correlation Coefficient
33%
Mean Absolute Error
33%
Mean Firing Rate
33%
Monitoring Applications
33%
Data Background
33%
Training Procedure
33%
Finger Extension
33%
Muscle Health
33%
Decoding Performance
33%
Personalized Health Monitoring
33%
Surface Electromyography (sEMG)
33%
Surface Electromyogram Signal
33%
Finger Extensor muscle
33%
High-density Surface Electromyography (HD-sEMG)
33%
Engineering
Health Monitoring
100%
Root Mean Square Error
100%
Computation Time
100%
Data Source
100%
Application Monitoring
100%
Pearsons Linear Correlation Coefficient
100%
Mean Absolute Error
100%
Decoding Performance
100%
Computer Science
Internet of Medical Things
100%
Probability
66%
Data Source
33%
Real-Time Application
33%
Background Noise
33%
Computation Time
33%
Monitoring Application
33%
Probability Threshold
33%
Decoding Performance
33%
Mean Absolute Error
33%
Pearson Correlation Coefficient
33%