Transactions on

Neural Systems and Rehabilitation Engineering

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.

We are delighted to announce our Best Associate Editors for 2024! Strahinja Dosen, Vesna Novak, and Ping Zhou were chosen based upon exceptional contributions in managing reviews and delivering timely and accurate decisions.

Strahinja Dosen

Vesna Novak

Ping Zhou

Editor-in-Chief

Dr. He (Helen) Huang

Dr. He (Helen) Huang is the Jackson Family Distinguished Professor in the Joint Department of Biomedical Engineering at North Carolina State University (NC State) and the University of North Carolina at Chapel Hill (UNC) and the Director of the Closed-Loop Engineering for Advanced Rehabilitation (CLEAR) core. She is also the co-director of NIDILRR funded Rehabilitation Engineering Research Center, called Assisting Stroke Survivors with Engineering Technology (ASSET). Her research interest lies in neural-machine interfaces, wearable robotics (robotic prosthetics and exoskeletons), learning-based wearable robot control, wearer-robot interaction and co-adaptation, and human motor control/biomechanics. She was a recipient of the Delsys Prize for Innovation in Electromyography, NIDILRR Switzer Fellowship, NSF CAREER Award, ASA Statistics in Physical Engineering Sciences Award, and NC State ALCOA Foundation Distinguished Engineering Research Award. She is a Fellow of AIMBE, Fellow of IEEE, NC State faculty scholar, and member of the Society for Neuroscience, BMES, American Society of Biomechanics, and AAAS. She is the Editor-in-Chief for the IEEE Transactions on Neural Systems and Rehabilitation Engineering and an Editorial Board Member for IEEE Transactions on Biomedical Engineering.

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Featured Articles

Decoding a Cognitive Performance State from Behavioral Data in the Presence of Auditory Stimuli
Decoding a Cognitive Performance State from Behavioral Data in the Presence of Auditory Stimuli 789 444 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Decoding a Cognitive Performance State from Behavioral Data in the Presence of Auditory Stimuli

Objective: Cognitive performance state is an unobserved state that refers to the overall performance of cognitive functions. Deriving an informative observation vector as well as the adaptive model and decoder…

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A Swing-Assist Controller for Enhancing Knee Flexion in a Semi-Powered Transfemoral Prosthesis
A Swing-Assist Controller for Enhancing Knee Flexion in a Semi-Powered Transfemoral Prosthesis 789 444 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

A Swing-Assist Controller for Enhancing Knee Flexion in a Semi-Powered Transfemoral Prosthesis

This work proposes a new swing controller for semi-powered low impedance transfemoral prostheses that resolves the issue of potentially competing inputs between artificial assistive power and user-sourced power. Rather than…

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Reconstructing Multi-Stroke Characters from Brain Signals toward Generalizable Handwriting Brain-Computer Interfaces image
Reconstructing Multi-Stroke Characters from Brain Signals toward Generalizable Handwriting Brain-Computer Interfaces 622 350 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Reconstructing Multi-Stroke Characters from Brain Signals toward Generalizable Handwriting Brain-Computer Interfaces

Handwriting Brain-Computer Interfaces (BCIs) provides a promising communication avenue for individuals with paralysis. While English-based handwriting BCIs have achieved rapid typewriting with 26 lowercase letters (mostly containing one stroke each),…

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Early Access Articles

Expanding functional workspace for people with C5-C7 spinal cord injury with supernumerary dorsal grasping 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Expanding functional workspace for people with C5-C7 spinal cord injury with supernumerary dorsal grasping

Spinal cord injuries (SCI) substantially affect sensory, motor, and autonomous functions below the level of injury, reducing the independence and quality of life for affected individuals. Specifically, people with SCI…

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Stimulation-Induced Muscle Deformation Measured with A-Mode Ultrasound Correlates with Muscle Fatigue 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Stimulation-Induced Muscle Deformation Measured with A-Mode Ultrasound Correlates with Muscle Fatigue

Muscle fatigue is a common physiological phenomenon whose onset can impair physical performance and increase the risk of injury. Traditional assessments of muscle fatigue are primarily constrained by their dependence…

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Wrist torque estimation by combining motor unit discharges with musculoskeletal model 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Wrist torque estimation by combining motor unit discharges with musculoskeletal model

Objective. The application of electromyography (EMG) decomposition techniques in myoelectric control has gradually increased. However, most decomposition-based control schemes rely on machine learning, lacking interpretation of the biological mechanisms underlying…

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Updates

The IEEE Transactions on Neural Systems and Rehabilitation Engineering Volume 32 was recently published.