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Efficiently Training Two-DoF Hand-Wrist EMG-Force Models (Author's Version)
[article]
2020
figshare.com
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To facilitate efficient training, we examined parameters of black box model training methods in 2-DoF force-varying, constant-posture tasks consisting of hand open-close combined with one wrist DoF. ...
Single-use EMG-force models (i.e., a new model is trained each time the electrodes are donned) are used in various areas, including ergonomics assessment, clinical biomechanics, and motor control research ...
Parameter Selection for Efficient EMG-Force Training This research focused on two technical details related to forming 2-DoF EMG-force models at the hand-wrist. ...
doi:10.6084/m9.figshare.12698540.v1
fatcat:pcaae75vkfcpzgpkfa2pkioqci
Evaluation of Linear Regression Simultaneous Myoelectric Control Using Intramuscular EMG
2016
IEEE Transactions on Biomedical Engineering
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a virtual three DOF wrist/hand system. ...
Conclusion and Significance-Linear regression myoelectric control using intramuscular EMG provided an alternative to parallel dual-site control for 3-DOF simultaneous control at the wrist and hand. ...
of three wrist/hand DOFs. ...
doi:10.1109/tbme.2015.2469741
pmid:26302506
pmcid:PMC4761337
fatcat:2n3s3t4ybbd4fox4op7mxumxce
Two degrees of freedom quasi-static EMG-force at the wrist using a minimum number of electrodes
2017
Journal of Electromyography & Kinesiology
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Thus, we investigated site selection of a minimum number of conventional EMG electrodes in an EMG-force task, targeting four sites for a two DoF controller. ...
Surface electromyogram-controlled powered hand/wrist prostheses return partial upper-limb function to limb-absent persons. ...
Two 1-DoF trials for Ext-Flx were used for model training, with training performance taken as the RMS error between the known force and the EMG-estimated force, averaged across these two training trials ...
doi:10.1016/j.jelekin.2017.03.004
pmid:28384495
pmcid:PMC5481845
fatcat:r77mardsvjdfnmhm4htob2lmcy
Use of probabilistic weights to enhance linear regression myoelectric control
2015
Journal of Neural Engineering
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intramuscular EMG-based three-DOF wrist and hand system. ...
Approach-Gaussian models were fit to EMG feature distributions for three movement classes at each DOF (no movement, or movement in either direction) and used to weight the output of linear regression models ...
The subjects used fine-wire EMG to control a cursor in a virtual task that enabled control of three DOFs: wrist supination/pronation, wrist flexion/extension, and hand open/close ( Figure 1 ). ...
doi:10.1088/1741-2560/12/6/066030
pmid:26595317
pmcid:PMC4808414
fatcat:bdx6r6pwobhvxg6lxa5boymj7i
A Comprehensive Review of Myoelectric Prosthesis Control
[article]
2021
arXiv
pre-print
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Prosthetic hands can be used to support upper-body amputees. ...
They were able to perform two wrist DOF (flexion/extension and pronation/supination). ...
They also showed that recording training data for all possible combinations of DoFs is not necessary if the models are well-generalized to DoF-combinations. ...
arXiv:2112.13192v1
fatcat:oc6kfbcrerduxfselt7izd2lp4
Stable, three degree-of-freedom myoelectric prosthetic control via chronic bipolar intramuscular electrodes: a case study
2019
Journal of NeuroEngineering and Rehabilitation
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time used) and directness of the VR hand control (path efficiency). ...
A K Nearest Neighbor (KNN) regression velocity controller was trained to predict intended joint movement direction using EMG data collected during a single training session. ...
Fig. 3 3 Data Processing for K Nearest Neighbor Training. Training data (two EMG features from each of the eight muscles) was collected during the presentation of target VR hand postures. ...
doi:10.1186/s12984-019-0607-8
pmid:31752886
pmcid:PMC6868792
fatcat:ufdwy7gbpvd7xipwjefelks33e
Stable, simultaneous and proportional 4-DoF prosthetic hand control via synergy-inspired linear interpolation: a case series
2021
Journal of NeuroEngineering and Rehabilitation
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A linear model of user activity was built by partitioning EMG feature space into regions bounded by vectors of steady state movement EMG patterns. ...
Background Current commercial prosthetic hand controllers limit patients' ability to fully engage high Degree-of-Freedom (DoF) prosthetic hands. ...
All training sets included three DoF from (Dewald 2019): wrist flexion/extension, wrist pronation/supination, and D2 (index) flexion/extension. ...
doi:10.1186/s12984-021-00833-3
pmid:33736656
pmcid:PMC7977328
fatcat:ebg36lfasvcavolm5zrjw5h6dy
Linear and Nonlinear Regression Techniques for Simultaneous and Proportional Myoelectric Control
2014
IEEE transactions on neural systems and rehabilitation engineering
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In this study we systematically compare linear and nonlinear regression techniques for an independent, simultaneous and proportional myoelectric control of wrist movements with two DoF. ...
In recent years the number of active controllable joints in electrically powered hand-prostheses has increased significantly. ...
The subjects performed bilateral mirrored contractions and the forces were estimated from EMG signals using artificial neuronal networks trained with force labels from the contra-lateral hand. ...
doi:10.1109/tnsre.2014.2305520
pmid:24608685
fatcat:xto5cyhstzgnjdhnwcwenrgrje
Open Access Dataset, Toolbox and Benchmark Processing Results of High-Density Surface Electromyogram Recordings
2021
IEEE transactions on neural systems and rehabilitation engineering
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contracted each individual finger, (3) one-degree of freedom (DoF) dataset acquired during force-varying contraction of each individual finger, (4) N-DoF dataset acquired during prescribed contractions ...
provide an open access dataset of High densitY Surface Electromyogram (HD-sEMG) Recordings (named "Hyser"), a toolbox for neural interface research, and benchmark results for pattern recognition and EMG-force ...
hand close, (15) wrist extension combined with hand close, (16) wrist radial combined with hand close, (17) wrist ulnar combined with hand close, (18) wrist pronation combined with hand close, (19) wrist ...
doi:10.1109/tnsre.2021.3082551
fatcat:5okkwdqy6ranfmkogcwvvl6kdy
Open Access Dataset, Toolbox and Benchmark Processing Results of High-Density Surface Electromyogram Recordings
2021
IEEE transactions on neural systems and rehabilitation engineering
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contracted each individual finger, (3) one-degree of freedom (DoF) dataset acquired during force-varying contraction of each individual finger, (4) N-DoF dataset acquired during prescribed contractions ...
provide an open access dataset of High densitY Surface Electromyogram (HD-sEMG) Recordings (named "Hyser"), a toolbox for neural interface research, and benchmark results for pattern recognition and EMG-force ...
hand close, (15) wrist extension combined with hand close, (16) wrist radial combined with hand close, (17) wrist ulnar combined with hand close, (18) wrist pronation combined with hand close, (19) wrist ...
doi:10.1109/tnsre.2021.3082551
pmid:34018935
fatcat:uxpgddzg2vb7tmlezrbkbfxjiq
Predicting wrist kinematics from motor unit discharge timings for the control of active prostheses
2019
Journal of NeuroEngineering and Rehabilitation
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In this study, we predict joint angles of the three degrees of freedom of the wrist from motor unit discharge timings identified by decomposition of high-density surface EMG. ...
Current myoelectric control algorithms for active prostheses map time- and frequency-domain features of the interference EMG signal into prosthesis commands. ...
The activations and the residual EMG features were then used to predict the wrist DoF angles
Comparison with other neural feature sets We repeated the statistical analysis including the two additional ...
doi:10.1186/s12984-019-0516-x
pmid:30953528
pmcid:PMC6451263
fatcat:paouemuahfbuxi4chhqnwipnbm
Comparing the efficiency of artificial neural networks in sEMG-based simultaneous and continuous estimation of hand kinematics
2021
Digital Communications and Networks
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Alothman, Comparing the efficiency of artificial neural networks in sEMG-based simultaneous and continuous estimation of hand kinematics, Digital Communications and Networks, https://doi. ...
Abstract Surface Electromyography (sEMG) plays a key role in many applications such as control of Human-Machine Interfaces (HMI) and neuromusculoskeletal modeling. ...
Here, the model is trained with approximately unlimited number of movements or force levels. ...
doi:10.1016/j.dcan.2021.08.002
fatcat:p6twbnpfyfbznd2vuq6ldzvdrm
Development of a Multi-DOF Electromyography Prosthetic System Using the Adaptive Joint Mechanism
2006
Applied Bionics and Biomechanics
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In this paper, we show the proposed system and describe the mechanical design of the prosthetic hand. ...
The research of electrically powered prosthetic systems is divided into two main subjects. One is the design of the joint mechanism. ...
The wrist is supported by two motors for the actuation of pronation/supination and extension/flexion motions. Therefore, the proposed EMG prosthetic hand has 12 DOF as an active motion control. ...
doi:10.1155/2006/741851
fatcat:skirppnfybhe3gyn6q63oui3hi
Bioinspired Musculoskeletal Model-based Soft Wrist Exoskeleton for Stroke Rehabilitation
2020
Journal of Bionic Engineering
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Then, according to the above human-like musculoskeletal model, the humanoid distributed kinematics control was established to achieve the two DOFs coupling kinematics of the wrist. ...
In this paper, the simplified muscle model and muscle-liked kinematics model were proposed, based on which a soft wrist exoskeleton was established to realize natural human interaction. ...
Wrist kinematics The wrist kinematics includes two DOFs: wrist flexion/extension and wrist adduction/abduction. The annular motion is the compound of two DOFs. 1. ...
doi:10.1007/s42235-020-0101-9
fatcat:s43f7wzgrjcbnbyrrshckcpiga
Continuous and simultaneous estimation of finger kinematics using inputs from an EMG-to-muscle activation model
2014
Journal of NeuroEngineering and Rehabilitation
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The results from this study demonstrates a potential control strategy based on EMG that can be applied for simultaneous and continuous control of multiple DOF(s) devices such as robotic hand/finger prostheses ...
However, very few studies have focused on the accurate and proportional control of the human hand using EMG signals. ...
This results to the production of force, where the model transforms the EMG signals to a suitable force or muscle activation representation. ...
doi:10.1186/1743-0003-11-122
pmid:25123024
pmcid:PMC4148535
fatcat:qe3mg2towzeonmeb5rfp5w36va
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