myoelectric control

Lower-Limb Myoelectric Calibration Postures for Transtibial Prostheses
Lower-Limb Myoelectric Calibration Postures for Transtibial Prostheses 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The use of an agonist-antagonist muscle pair for myoelectric control of a transtibial prosthesis requires normalizing the myoelectric signals and identifying their co-contraction signature. Extensive literature has explored the relationship… read more

FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography
Author(s)3: Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, Seyed Farokh Atashzar, Arash Mohammadi
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

This work is motivated by the recent advances in Deep Neural Networks (DNNs) and their widespread applications in human-machine interfaces. DNNs have been recently used for detecting the intended hand…

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Improved High-density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural NetworkT
Author(s)3: Le Wu, Xu Zhang, Kun Wang, Xiang Chen, Xun Chen
Improved High-density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural NetworkT 553 217 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
The objective of this work is to develop a robust method for myoelectric control towards alleviating the in-terference of electrode shift. Methods: In the proposed method, a preprocessing approach was first performed to convert high-den-sity surface electromyogram (HD-sEMG) signals into a series of images, and the electrode shift appeared as pixel shift in these im-ages. read more

Should Hands Be Restricted When Measuring Able-Bodied Participants to Evaluate Machine Learning Controlled Prosthetic Hands?
Author(s)3: Morten B. Kristoffersen, Andreas W. Franzke, Corry K. van der Sluis, Raoul M. Bongers, Alessio Murgia
Should Hands Be Restricted When Measuring Able-Bodied Participants to Evaluate Machine Learning Controlled Prosthetic Hands? 786 1000 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
When evaluating methods for machine-learning controlled prosthetic hands, able-bodied participants are often recruited, for practical reasons, instead of participants with upper limb absence (ULA). However, able-bodied participants have been shown to often perform myoelectric control tasks better than participants with ULA. read more

Learning, Generalization, and Scalability of Abstract Myoelectric Control
Author(s)3: Matthew Dyson, Sigrid Dupan, Hannah Jones, Kianoush Nazarpour
Learning, Generalization, and Scalability of Abstract Myoelectric Control 451 651 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)
Motor learning-based methods offer an alternative paradigm to machine learning-based methods for controlling upper-limb prosthetics. Within this paradigm, the patterns of muscular activity used for control can differ from those which control biological limbs. read more

Locomotor Adaptation by Transtibial Amputees Walking With an Experimental Powered Prosthesis Under Continuous Myoelectric Control
Author(s)3: Stephanie Huang, Jeffrey P. Wensman, Daniel P. Ferris
Locomotor Adaptation by Transtibial Amputees Walking With an Experimental Powered Prosthesis Under Continuous Myoelectric Control 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Lower limb amputees can use electrical activity from their residual muscles for myoelectric control of a powered prosthesis. The most common approach for myoelectric control is a finite state controller…

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The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
Author(s)3: Dario Farina, Ning Jiang, Hubertus Rehbaum, Ales Holobar, Bernhard Graimann, Hans Dietl, Oskar C. Aszmann
The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges 556 305 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Farina, D. ; Jiang, N. ; Rehbaum, H. ; Holobar, A. ; Graimann, B. ; Dietl, H. ; Aszmann, O.C. Abstract Despite not recording directly from neural cells, the surface…

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Dexterous Control of a Prosthetic Hand Using Fine-Wire Intramuscular Electrodes in Targeted Extrinsic Muscles
Dexterous Control of a Prosthetic Hand Using Fine-Wire Intramuscular Electrodes in Targeted Extrinsic Muscles 556 235 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Cipriani, C. ; Segil, J. L. ; Birdwell, A. J. ; Weir, R. F ACCESS PAPER DATA READ FULL ARTICLE ON IEEE XPLORE Abstract Restoring dexterous motor function equivalent to…

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TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.

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