EMG-based simultaneous and proportional estimation of wrist/hand kinematics in uni-lateral trans-radial amputees

We propose a method for estimating wrist kinematics during dynamic wrist contractions from multi-channel surface electromyography (EMG). The algorithm extracts features from the surface EMG and uses dedicated multi-layer perceptron networks to estimate individual joint angles of the 3 degrees of fre...

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Bibliographic Details
Published in:Journal of neuroengineering and rehabilitation Vol. 9; no. 1; p. 42
Main Authors: Jiang, Ning, Vest-Nielsen, Johnny LG, Muceli, Silvia, Farina, Dario
Format: Journal Article
Language:English
Published: London BioMed Central 28.06.2012
BioMed Central Ltd
Springer Nature B.V
BMC
Subjects:
Accuracy
Active control
Adult
Algorithms
Amputation
Amputation, Traumatic - physiopathology
Amputees
Arm
Artificial Limbs
Automatic Data Processing
Biomechanical Phenomena
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Classification
Control algorithms
Electrodes
Electromyography
Estimating
Female
Functional Laterality - physiology
Hand - physiology
Humans
Implants, Artificial
Joints - anatomy & histology
Kinematics
Male
Middle Aged
Myoelectric control
Neural networks
Neural Networks (Computer)
Neurology
Neurosciences
Prostheses
Prosthesis
Radius
Rehabilitation Medicine
Studies
Surface chemistry
Wrist
Wrist - physiology
Training Scenario
Intact Side
Myoelectric Control
Joint Angle
Control Group Group
ISSN:1743-0003, 1743-0003
Online Access:Get full text
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Description
Summary:We propose a method for estimating wrist kinematics during dynamic wrist contractions from multi-channel surface electromyography (EMG). The algorithm extracts features from the surface EMG and uses dedicated multi-layer perceptron networks to estimate individual joint angles of the 3 degrees of freedom (DoFs) of the wrist. The method was designed with the aim of proportional and simultaneous control of multiple DoFs of active prostheses by unilateral amputees. Therefore, the proposed approach was tested in both unilateral transradial amputees and in intact-limbed control subjects. It was shown that the joint angles at the 3 DoFs of amputees can be estimated from surface EMG recordings , during mirrored bi-lateral contractions that simultaneously and proportionally articulated the 3 DoFs. The estimation accuracies of amputee subjects with long stumps were 62.5% ± 8.50% across all 3 DoFs, while accuracies of the intact-limbed control subjects were 72.0% ± 8.29%. The estimation results from intact-limbed subjects were consistent with earlier studies. The results from the current study demonstrated the feasibility of the proposed myoelectric control approach to provide a more intuitive myoelectric control strategy for unilateral transradial amputees.
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ISSN:1743-0003
1743-0003
DOI:10.1186/1743-0003-9-42