Results 41 to 50 of about 5,067 (128)

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

Real-time, simultaneous myoelectric control using a convolutional neural network. [PDF]

PLoS ONE, 2018
The evolution of deep learning techniques has been transformative as they have allowed complex mappings to be trained between control inputs and outputs without the need for feature engineering.
Ali Ameri, Mohammad Ali Akhaee, Erik Scheme, Kevin Englehart   +3 more
doaj   +1 more source

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi, Munire Sibel Cetin, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +4 more
wiley   +1 more source

Targeted Muscle Reinnervation for Intuitive Prosthetic Control

Muscle &Nerve, EarlyView.
ABSTRACT The convergence of medical and technological advances has led to a substantial expansion of therapeutic approaches for patients with limb amputations. Targeted muscle reinnervation (TMR) is one of the strategies to improve control of bionic arms and has been applied for more than two decades. Through surgical rewiring of the nerves responsible
Nitay Maile, Laura Ferrante, Dario Farina, Ulla Al Dabbass, Oskar C. Aszmann, Vlad Tereshenko   +5 more
wiley   +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

Regenerative Peripheral Nerve Interface (RPNI) Surgery for Naturalistic Prosthetic Control

Muscle &Nerve, EarlyView.
ABSTRACT Loss of limb function remains a significant public health challenge affecting millions of people worldwide, causing high rates of disability, unemployment, and chronic pain. Current neuroprosthetic devices are limited by unintuitive control and poor long‐term embodiment.
Ahneesh J. Mohanty, Yucheng Tian, Theodore A. Kung, Cynthia A. Chestek, Alex K. Vaskov, Deanna H. Gates, Alison K. Snyder‐Warwick, Paul S. Cederna   +7 more
wiley   +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

Infra‐slow brain–heart–gut electrophysiological interactions reveal a co‐ordinated multisystem physiological network in humans

The Journal of Physiology, EarlyView.
Abstract figure legend Simultaneous resting‐state electroencephalographic (EEG), electrocardiographic (ECG) and electrogastrographic (EGG) recordings were processed to extract time‐resolved physiological markers for each organ: EEG alpha‐band power for the brain, cardiac sympathetic and parasympathetic indices (CSI, CPI) for the heart and EGG power for
Giovanni Sitti, Laura Pitti, Diego Candia‐Rivera   +2 more
wiley   +1 more source

Configurable Ultracompact Electrode Kernel for Electromyography Recordings Using Screen Printed Logic Circuits Based on Organic Electrochemical Transistors

Small Structures, Volume 7, Issue 11, November 2026.
Screen printed logic circuit for configurable high‐density EMG electrodes. The multilayer electrode kernel combines eight OECT‐based transmission channels with an integrated OECT‐based 3–8 decoder circuit to activate a single channel while blocking the rest.
Luis Pelaez Murciego, Lars Herlogsson, Mohammad Yusuf Mulla, Jan Strandberg, Erika Spaich, Strahinja Dosen, Peter Andersson Ersman   +6 more
wiley   +1 more source