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Learning, Generalization, and Scalability of Abstract Myoelectric Control [PDF]

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020
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. Practice expedites the learning of these new, functional patterns of muscular activity.
Matthew Dyson, Sigrid Dupan, Hannah Jones, Kianoush Nazarpour   +3 more
openaire   +4 more sources

A novel gel liner system with embedded electrodes for use with upper limb myoelectric prostheses.

PLoS ONE, 2018
We present the development and evaluation of a gel liner system for upper limb prosthesis users that enables acquisition of electromyographic (myoelectric) control signals through embedded electrodes and flexible, conductive fabric leads.
Timothy Reissman, Elizabeth Halsne, Robert Lipschutz, Laura Miller, Todd Kuiken   +4 more
doaj   +1 more source

A Novel Myoelectric Control Scheme Supporting Synchronous Gesture Recognition and Muscle Force Estimation

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022
Aiming to provide feasible solutions for the realization of the robust and natural myoelectric control systems, a novel myoelectric control scheme supporting gesture recognition and muscle force estimation is proposed in this study.
Ruochen Hu, Xiang Chen, Haotian Zhang, Xu Zhang, Xun Chen   +4 more
doaj   +1 more source

Context-Informed Incremental Learning Improves Throughput and Reduces Drift in Regression-Based Myoelectric Control

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Despite decades of research, commercially available powered myoelectric prostheses continue to use sequential, classification-based control. While regression-based approaches can improve the dexterity offered through simultaneous, independent, and ...
Christian Morrell, Evan Campbell, Ethan Eddy, Erik Scheme   +3 more
doaj   +1 more source

Fixed muscle synergies and their potential to improve the intuitive control of myoelectric assistive technology for upper extremities

Journal of NeuroEngineering and Rehabilitation, 2019
Background Users of myoelectric controlled assistive technology (AT) for upper extremities experience difficulties in controlling this technology in daily life, partly because the control is non-intuitive.
Tim A. Valk, Leonora J. Mouton, Egbert Otten, Raoul M. Bongers   +3 more
doaj   +1 more source

The Optimal Controller Delay for Myoelectric Prostheses

IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2007
A tradeoff exists when considering the delay created by multifunctional prosthesis controllers. Large controller delays maximize the amount of time available for EMG signal collection and analysis (and thus maximize classification accuracy); however, large delays also degrade prosthesis performance by decreasing the responsiveness of the prosthesis. To
Todd R, Farrell, Richard F, Weir
openaire   +3 more sources

Study on the effect of electric current intensity stimulation combined with biofeedback pelvic floor muscle training on postpartum pelvic floor dysfunction

Clinical and Experimental Obstetrics & Gynecology, 2020
Aim: To explore the effect of different electrical stimulation intensities combined with pelvic floor muscle training on postpartum pelvic floor dysfunction.
Y.N. Zhou, Y.C. Teng, G.P. Gan
doaj   +1 more source

Development of a Parent Wireless Assistive Interface for Myoelectric Prosthetic Hands for Children

Frontiers in Neurorobotics, 2018
In this study, a one-degree-of-freedom myoelectric prosthesis system was proposed using a Parent Wireless Assistive Interface (PWAI) that allowed an external assistant (e. g., the parent of the user) to immediately adjust the parameters of the prosthetic
Yutaro Hiyoshi, Yuta Murai, Yoshiko Yabuki, Kenichi Takahana, Soichiro Morishita, Yinlai Jiang, Yinlai Jiang, Shunta Togo, Shunta Togo, Shinichiro Takayama, Hiroshi Yokoi, Hiroshi Yokoi, Hiroshi Yokoi   +12 more
doaj   +1 more source

Biomechanics and energetics of walking in powered ankle exoskeletons using myoelectric control versus mechanically intrinsic control

Journal of NeuroEngineering and Rehabilitation, 2018
Background Controllers for assistive robotic devices can be divided into two main categories: controllers using neural signals and controllers using mechanically intrinsic signals.
Jeffrey R. Koller, C. David Remy, Daniel P. Ferris   +2 more
doaj   +1 more source

Raising the standard: an open source benchmarking platform and data repository to accelerate myoelectric control research

Machine Learning: Health
After decades of use in the control of powered upper-limb prostheses, myoelectric control is now emerging as an input modality for general human–machine interaction.
Ethan Eddy, Evan Campbell, Christian Morrell, Heather Williams, Scott Bateman, Erik Scheme   +5 more
doaj   +1 more source