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.
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3.34
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0.0096
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0.88
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Daniel P. Ferris, Ph.D.
Editor-in-chief
Editor-in-chief

Daniel P. Ferris is the Robert W. Adenbaum Professor of Engineering Innovation at the University of Florida J. Crayton Pruitt Family Department of Biomedical Engineering. He studies how to integrate machines and humans to improve human performance and mobility in health and disability. Specific research projects focus on robotic lower limb exoskeletons, bionic lower limb prostheses, and mobile brain imaging with high-density electroencephalography. Prof. Ferris completed his B.S. from the University of Central Florida, his M.S. from the University of Miami, and his Ph.D. from University of California, Berkeley. After earning his doctoral degree, he worked as a post-doctoral researcher in the UCLA Department of Neurology and the University of Washington Department of Electrical Engineering.​ Dr. Ferris spent 16 years at the University of Michigan until recently relocating to the University of Florida in June 2017.​

Daniel P. Ferris is the Robert W. Adenbaum Professor of Engineering Innovation at the University of Florida J. Crayton Pruitt Family Department of Biomedical Engineering. He studies how to integrate machines and humans to improve human performance and mobility in health and disability. Specific research projects focus on robotic lower limb exoskeletons, bionic lower limb prostheses, and mobile brain imaging with high-density electroencephalography. Prof. Ferris completed his B.S. from the University of Central Florida, his M.S. from the University of Miami, and his Ph.D. from University of California, Berkeley. After earning his doctoral degree, he worked as a post-doctoral researcher in the UCLA Department of Neurology and the University of Washington Department of Electrical Engineering.​ Dr. Ferris spent 16 years at the University of Michigan until recently relocating to the University of Florida in June 2017.​

Congratulations to our 2020 TNSRE top reviewers!

 Prof. Jing Jin

East China University of Science and Technology

Dr. Peng Xu 

University of Electronic Science and Technology of China

Dr. Neethu Robinson

School of Computer Science and Engineering, Nanyang Technological University

Dr. Yingchun Zhang

University of Houston Biomedical Engineering

Updates

Transactions on

Neural Systems and Rehabilitation Engineering

2021
VOLUME 29
ITNSB3
29
The IEEE Transactions on Neural Systems and Rehabilitation Engineering Volume 29 has been published.
Deep-Learning-Based Emergency Stop Prediction for Robotic Lower-Limb Rehabilitation Training Systems
Robotic lower-limb rehabilitation training is a better alternative for the physical training efforts of a therapist due to advantages, such as intensive repetitive motions, economical therapy, and quantitative assessment of the level of motor recovery through the measurement of force... Read more
Decoding Finger Tapping with the Affected Hand in Chronic Stroke Patients During Motor Imagery and Execution
In stroke rehabilitation, motor imagery based on a brain–computer interface is an extremely useful method to control an external device and utilize neurofeedback. Many studies have reported on the classification performance of motor imagery to decode individual fingers in stroke... Read more
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A Muscle Synergy-Inspired Method of Detecting Human Movement Intentions Based on Wearable Sensor Fusion
Detecting human movement intentions is fundamental to neural control of robotic exoskeletons, as it is essential for achieving seamless transitions between different locomotion modes. In this study, we enhanced a muscle synergy-inspired method of locomotion mode identification by fusing the... Read more
Featured Articles
Design and characterization of a textile electrode system for the detection of High-Density sEMG
Muscle activity monitoring in dynamic conditions is a crucial need in different scenarios, ranging from sport to rehabilitation science and applied physiology. The acquisition of surface electromyographic (sEMG) signals by means of grids of electrodes (High-Density sEMG, HD-sEMG) allows to... Read more
Featured Articles
CMAP Scan Examination of the First Dorsal Interosseous Muscle after Spinal Cord Injury
The study assessed motor unit loss in muscles paralyzed by spinal cord injury (SCI) using a novel compound muscle action potential (CMAP) scan examination. The CMAP scan of the first dorsal interosseous (FDI) muscle was applied in tetraplegia (n=13) and... Read more
Featured Articles
Emotional Arousal and Valence Jointly Regulate the Auditory Response: A 40-Hz ASSR Study
Emotion is defined as a response to external stimuli and internal mental representations. It has been characterized as a multidimensional concept, primarily comprising two dimensions: valence and arousal. Existing studies have demonstrated that emotional experience exerts a powerful impact on... Read more
Featured Articles
Deep Pinsker and James-Stein Neural Networks for Decoding Motor Intentions from Limited Data
Non-parametric regression has been shown to be useful in extracting relevant features from Local Field Potential (LFP) signals for decoding motor intentions. Yet, in many instances, brain-computer interfaces (BCIs) rely on simple classification methods, circumventing deep neural networks (DNNs) due... Read more