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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In an era where technology is expanding at a rapid rate and the needs for medical application of these technologies has never been greater, the intersection between engineering, medicine and biology is a critical place to be. The IEEE Engineering in Medicine and Biology Society is well-positioned to serve as a central gathering point for both of these major disciplines.

Early Access Articles

Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Improving the Performance of Individually Calibrated SSVEP Classification by Rhythmic Entrainment Source Separation

Objective: The supervised decoding algorithms of Steady-State Visual Evoked Potentials (SSVEP) have achieved remarkable performance with sufficient training data. However, these methods have typically failed to achieve acceptable performance in…

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Hidden Brain State-based Internal Evaluation Using Kernel Inverse Reinforcement Learning in Brain-machine Interfaces 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Hidden Brain State-based Internal Evaluation Using Kernel Inverse Reinforcement Learning in Brain-machine Interfaces

Reinforcement learning (RL)-based brain machine interfaces (BMIs) assist paralyzed people in controlling neural prostheses without the need for real limb movement as supervised signals. The design of reward signal significantly…

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Electrophysiological evidence on mirror therapy for promoting perceptuo-motor processes in stroke patients 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Electrophysiological evidence on mirror therapy for promoting perceptuo-motor processes in stroke patients

Mirror therapy is proposed to enhance post-stroke awareness of the affected limb and mental ability, but convincing evidence on the perceptuo-motor processes is insufficient. In this study, we aimed to…

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Featured Articles

Closed-Loop Deep Brain Stimulation With Reinforcement Learning and Neural Simulation 480 270 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Closed-Loop Deep Brain Stimulation With Reinforcement Learning and Neural Simulation

This article presents a significant advancement in the field of deep brain stimulation (DBS) through the development of a closed-loop system that integrates reinforcement learning (RL) and neural simulation techniques.…

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Tremor Suppression Using Functional Electrical Stimulation 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Tremor Suppression Using Functional Electrical Stimulation

Parkinson’s disease (PD) and essential tremor are two major causes of pathological tremor among people over 60 years old. Due to the side effects and complications of traditional tremor management…

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Characterizing Autism Spectrum Disorder Through Fusion of Local Cortical Activation and Global Functional Connectivity Using Game-Based Stimuli and a Mobile EEG System 150 150 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

Characterizing Autism Spectrum Disorder Through Fusion of Local Cortical Activation and Global Functional Connectivity Using Game-Based Stimuli and a Mobile EEG System

The deficit in social interaction skills among individuals with autism spectrum disorder (ASD) is strongly influenced by personal experiences and social environments. Neuroimaging studies have previously highlighted the link between…

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Updates

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