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Efficiently Training Two-DoF Hand-Wrist EMG-Force Models (Author's Version) [article]

Berj Bardizbanian, Ziling Zhu, Jianan Li, Xinming Huang, Chenyun Dai, Carlos Martinez-Luna, Benjamin McDonald, Todd Farrell, Edward Clancy, Inc. Liberating Technologies
2020 figshare.com  
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

Lauren H. Smith, Todd A. Kuiken, Levi J. Hargrove
2016 IEEE Transactions on Biomedical Engineering  
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

Edward A. Clancy, Carlos Martinez-Luna, Marek Wartenberg, Chenyun Dai, Todd R. Farrell
2017 Journal of Electromyography & Kinesiology  
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

Lauren H Smith, Todd A Kuiken, Levi J Hargrove
2015 Journal of Neural Engineering  
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]

Mohammad Reza Mohebbian, Marjan Nosouhi, Farzaneh Fazilati, Zahra Nasr Esfahani, Golnaz Amiri, Negar Malekifar, Fatemeh Yusefi, Mohsen Rastegari, Hamid Reza Marateb
2021 arXiv   pre-print
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

Hendrik Adriaan Dewald, Platon Lukyanenko, Joris M. Lambrecht, James Robert Anderson, Dustin J. Tyler, Robert F. Kirsch, Matthew R. Williams
2019 Journal of NeuroEngineering and Rehabilitation  
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

Platon Lukyanenko, Hendrik Adriaan Dewald, Joris Lambrecht, Robert F. Kirsch, Dustin J. Tyler, Matthew R. Williams
2021 Journal of NeuroEngineering and Rehabilitation  
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

J. M. Hahne, F. Biebmann, N. Jiang, H. Rehbaum, D. Farina, F. C. Meinecke, K.-R Muller, L. C. Parra
2014 IEEE transactions on neural systems and rehabilitation engineering  
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

Xinyu Jiang, Xiangyu Liu, Jiahao Fan, Xinming Ye, Chenyun Dai, Edward A Clancy, Metin Akay, Wei Chen
2021 IEEE transactions on neural systems and rehabilitation engineering  
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

Xinyu Jiang, Xiangyu Liub, Jiahao Fan, Xinming Ye, Chenyun Dai, Edward A Clancy, Metin Akay, Wei Chen
2021 IEEE transactions on neural systems and rehabilitation engineering  
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

Tamás Kapelner, Ivan Vujaklija, Ning Jiang, Francesco Negro, Oskar C. Aszmann, Jose Principe, Dario Farina
2019 Journal of NeuroEngineering and Rehabilitation  
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

Wafa Batayneh, Enas Abdulhay, Mohammad Alothman
2021 Digital Communications and Networks  
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

A. Hernandez Arieta, R. Katoh, H. Yokoi, Y. Wenwei
2006 Applied Bionics and Biomechanics  
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

Ning Li, Tie Yang, Yang Yang, Peng Yu, Xiujuan Xue, Xingang Zhao, Guoli Song, Imad H. Elhajj, Wenxue Wang, Ning Xi, Lianqing Liu
2020 Journal of Bionic Engineering  
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

Jimson G Ngeo, Tomoya Tamei, Tomohiro Shibata
2014 Journal of NeuroEngineering and Rehabilitation  
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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