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Finger Joint Angle Estimation Based on Motoneuron Discharge Activities
Chenyun Dai,
Xiaogang Hu
Mechanical Engineering
Huck Institutes of the Life Sciences
Penn State Neuroscience Institute
Department of Physical Medicine and Rehabilitation
Research output
:
Contribution to journal
›
Article
›
peer-review
79
Scopus citations
Overview
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Dive into the research topics of 'Finger Joint Angle Estimation Based on Motoneuron Discharge Activities'. Together they form a unique fingerprint.
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Keyphrases
Motoneuron
100%
Discharge Activity
100%
Neural Drive
100%
Motor Unit
40%
Extension Angle
40%
Finger Joint Angle
40%
Multi-channel
20%
R2 Value
20%
Surface Electromyography (sEMG)
20%
Fire Behavior
20%
Finger Movement
20%
Second-order Polynomial
20%
Human-machine Interaction
20%
Channel Surface
20%
Polynomial Regression
20%
Neuronal Firing
20%
Firing Frequency
20%
Accuracy-based
20%
Fast Movement
20%
Joint Kinematics
20%
Metacarpophalangeal
20%
EMG Amplitude
20%
Reliable Estimation
20%
Extensor Digitorum Communis
20%
Finger Extension
20%
EMG Signal
20%
Motor Unit Firing
20%
Engineering
Angle Joint
100%
Multichannel
66%
Oscillatory
33%
Polynomial Order
33%
Joint Kinematics
33%
Human-Machine Interaction
33%