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Cross-comparison of EMG-to-Force methods for Multi-DoF Finger Force Prediction using One-DoF training

Yuyang Chen, Chenyun Dai, Wei Chen
2020 IEEE Access  
To realize a better practical use, the EMG-to-force models were trained with minimal numbers of trials (using 1-DoF trials only), then assessed on multi-DoF trials.  ...  Our findings suggest that Multi-DoF control for individual fingers with minimal training procedure (using 1-DoF trials only) may be feasible for practical use.  ...  Therefore, it is significant to research on only using single DoF data to realize the multi-DoF force predictions.  ... 
doi:10.1109/access.2020.2966007 fatcat:726weuxe4zfs5noectc6bzosxe

EMG pattern recognition and grasping force estimation: Improvement to the myocontrol of multi-DOF prosthetic hands

Dapeng Yang, Jingdong Zhao, Yikun Gu, Li Jiang, Hong Liu
2009 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems  
The multi-DOF prosthetic hand's myocontrol needs to recognize more hand gestures (or motions) based on myoelectric signals.  ...  Also, the performance of grasping force estimation based on specific hand gestures is superior to the performance of grasping with random fingers. 978-1-4244-3804-4/09/$25.00 ©2009 IEEE  ...  EMG Pattern Recognition For the total 14 sessions, we used each session's EMG data to train a C-SVM (C=32, γ =0.125), and used the C-SVM to predict the EMG modes of all sessions (that is called cross-session  ... 
doi:10.1109/iros.2009.5354544 dblp:conf/iros/YangZGJL09 fatcat:bf4tsxyvi5avhcxmkonvvsigtu

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  
Dataset 1 can be used for gesture recognition studies. Datasets 2-5 also recorded individual finger forces, thus can be used for studies on proportional control of neuroprostheses.  ...  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  ...  selected as 0.05). 2) Validation Methodologies: To validate the performance of EMG-force regression for the one DoF dataset, we employed a leave one out cross-validation strategy.  ... 
doi:10.1109/tnsre.2021.3082551 pmid:34018935 fatcat:uxpgddzg2vb7tmlezrbkbfxjiq

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  
Dataset 1 can be used for gesture recognition studies. Datasets 2-5 also recorded individual finger forces, thus can be used for studies on proportional control of neuroprostheses.  ...  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  ...  selected as 0.05). 2) Validation Methodologies: To validate the performance of EMG-force regression for the one DoF dataset, we employed a leave one out cross-validation strategy.  ... 
doi:10.1109/tnsre.2021.3082551 fatcat:5okkwdqy6ranfmkogcwvvl6kdy

The LET Procedure for Prosthetic Myocontrol: Towards Multi-DOF Control Using Single-DOF Activations

Markus Nowak, Claudio Castellini, Mikhail A. Lebedev
2016 PLoS ONE  
Multi-DOF activations are artificially modelled from single-DOF ones using a simple linear combination of sEMG signals, which are then added to the training set.  ...  This poses a great challenge: a system composed of a multi-finger hand prosthesis and a 2-DOF wrist can already have up to 8 DOFs.  ...  Experiment 1 is concerned with an offline comparison of different training methods, including the full data set containing single-and multi-DOF activations (from now on referred to as the multi-finger  ... 
doi:10.1371/journal.pone.0161678 pmid:27606674 pmcid:PMC5015907 fatcat:j2f3nhxywzhzrcs3m4suurwf3u

Myoelectric digit action decoding with multi-label, multi-class classification: an offline analysis [article]

Agamemnon Krasoulis, Kianoush Nazarpour
2020 biorxiv/medrxiv   pre-print
For prosthetic finger control, regression-based methods are typically used to reconstruct position/velocity trajectories from surface electromyogram (EMG) signals.  ...  We demonstrate the feasibility of using our proposed action decoding paradigm to predict movement action for all five digits as well as rotation of the thumb.  ...  Data availability The dataset used in the study is available as part of the NINAPRO database (http://ninap ro.hevs.ch/DB8) and the Newcastle University data repository (https ://doi.org/10.25405 /data.ncl  ... 
doi:10.1101/2020.03.24.005710 fatcat:h36slwyqzjgynir2fnh4iyyq74

Wrist and grasp myocontrol: Simplifying the training phase

Markus Nowak, Claudio Castellini
2015 2015 IEEE International Conference on Rehabilitation Robotics (ICORR)  
The LET principle, according to which combined simultaneous activation of more than one DOF are artificially modelled using a simple linear combination of single-DOF activations, was tested on six intact  ...  In this paper we extend the Linearly Enhanced Training (LET) procedure, already employed in myocontrol of single fingers and their combinations, to myocontrol of two DOFs of the wrist plus the action of  ...  Miguel Neves of the German Aerospace Centre for printing the housings for the EMG electrodes, which have considerably simplified the setup.  ... 
doi:10.1109/icorr.2015.7281222 fatcat:n7f4cvpl5rhvrcpxswxqikqmxy

OMG: Introducing optical myography as a new human machine interface for hand amputees

Christian Nissler, Nikoleta Mouriki, Claudio Castellini, Vasileios Belagiannis, Nassir Navab
2015 2015 IEEE International Conference on Rehabilitation Robotics (ICORR)  
The LET principle, according to which combined simultaneous activation of more than one DOF are artificially modelled using a simple linear combination of single-DOF activations, was tested on six intact  ...  In this paper we extend the Linearly Enhanced Training (LET) procedure, already employed in myocontrol of single fingers and their combinations, to myocontrol of two DOFs of the wrist plus the action of  ...  Miguel Neves of the German Aerospace Centre for printing the housings for the EMG electrodes, which have considerably simplified the setup.  ... 
doi:10.1109/icorr.2015.7281324 fatcat:vozb57jebzfezfov4spxklae2i

A Comparative Analysis of Three Non-Invasive Human-Machine Interfaces for the Disabled

Vikram Ravindra, Claudio Castellini
2014 Frontiers in Neurorobotics  
In this paper, we compare three such HMIs employed in the detection of finger forces, namely sEMG, ultrasound imaging, and pressure sensing.  ...  Given that pressure sensors are as wearable as sEMG electrodes but way cheaper, we claim that this HMI could represent a valid alternative/augmentation to sEMG to control a multi-fingered hand prosthesis  ...  to build a training set, only data collected during the application of maximal and minimal forces were considered; fivefold cross-validation was done for each subject, by training on four out of five  ... 
doi:10.3389/fnbot.2014.00024 pmid:25386135 pmcid:PMC4209885 fatcat:nrr55p5bnfhj7jdd4vcejjintm

Discrete action control for prosthetic digits [article]

Agamemnon Krasoulis, Kianoush Nazarpour
2020 bioRxiv   pre-print
Approach: We introduce action control, a novel method to operate prosthetic digits with surface electromyography (EMG) based on multi-label, multi-class classification.  ...  Objective: We aim to develop a paradigm for simultaneous and independent control of multiple degrees of freedom (DOFs) for upper-limb prostheses.  ...  Acknowledgements The authors are thankful to the three amputee volunteers for their participation.  ... 
doi:10.1101/2020.03.25.007203 fatcat:yvq4qpfg6jgwnjvewyj4l5fl44

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.  ...  Myoelectric prosthesis, one of the externally-powered active prosthesis categories, requires proper processing units in addition to recording electrodes and instrumentation amplifiers.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
arXiv:2112.13192v1 fatcat:oc6kfbcrerduxfselt7izd2lp4

Intuitive Neuromyoelectric Control of a Dexterous Bionic Arm Using a Modified Kalman Filter [article]

Jacob A. George, Tyler S. Davis, Mark R. Brinton, Gregory A. Clark
2019 arXiv   pre-print
Comparison with Existing Methods: In contrast to pattern recognition, the MKF allows users to continuously modulate their force output, which is critical for fine dexterity.  ...  New Method: We detail the use of a modified Kalman filter (MKF) to provide intuitive, independent and proportional control over six-DOF prostheses such as the DEKA "LUKE" Arm.  ...  ACKNOWLEDGEMENTS: We thank the amputee participants involved in this study for their willingness to contribute more than a year of their lifes to improve science and the lives of future amputees.  ... 
arXiv:1908.10522v2 fatcat:at2pmyriezcn5gnmqmzxvkt66y

Simultaneous and Continuous Estimation of Shoulder and Elbow Kinematics from Surface EMG Signals

Qin Zhang, Runfeng Liu, Wenbin Chen, Caihua Xiong
2017 Frontiers in Neuroscience  
This result suggests it is feasible and effective to use ICA (PCA) with single ANN for multi-joint kinematics estimation in variant application conditions.  ...  Although simultaneous and continuous kinematics estimation from surface electromyography (EMG) is a feasible way to achieve natural and intuitive human-machine interaction, few works investigated multi-DoF  ...  of China (Grant No. 2016YFE0113600), and the Natural Science Foundation of Hubei Province (Grant No.2015CFA004).  ... 
doi:10.3389/fnins.2017.00280 pmid:28611573 pmcid:PMC5447720 fatcat:uymu4vdf3rfitlyk4ufr2y6ec4

A Nonlinear Method to Estimate Simultaneous Force Pattern Generated by Hand Fingers; Application in Prosthetic Hand

S. Mirzakuchaki, Z. Paydar
2018 Iranian Journal of Electrical and Electronic Engineering  
Estimation was done for 6 degrees of freedom (DoF) and generalized regression neural network (GRNN) was selected for system training.  ...  In order to simultaneously record of sEMG signals and the force produced by fingers, 9 requested movements of fingers conducted by 10 healthy people.  ...  Matsuoka, "Comparison of control strategies for an EMG controlled orthotic exoskeleton for the hand," in Proceedings of IEEE International Conference on Robotics and Automation (ICRA'04), pp. 1622-1627  ... 
doaj:518222b2336f438ab05e6c0f62f67311 fatcat:cmhgke2imvfhlht6rpbeu6opem

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  
dual-site control demonstrated improved performance for targets that required use of only one DOF.  ...  Offline analyses also suggested that the method used to train linear regression systems may influence controllability.  ...  Acknowledgment The authors would like to Ann Barlow, PhD, and Sheila Burt for assistance in editing the manuscript.  ... 
doi:10.1109/tbme.2015.2469741 pmid:26302506 pmcid:PMC4761337 fatcat:2n3s3t4ybbd4fox4op7mxumxce
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