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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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.​

Updates

Transactions on

Neural Systems and Rehabilitation Engineering

OCTOBER 2020
VOLUME 28
NUMBER 10
ITNSB3
28
The IEEE Transactions on Neural Systems and Rehabilitation Engineering Volume 28 Issue 10 has been published.
Multi-directional Ankle Impedance During Standing Postures
In this study, we estimated the multi-directional ankle mechanical impedance in two degrees-of-freedom (DOF) during standing, and determined how the stiffness, damping, and inertia vary with ankle angle and ankle torque at different postures... Read more
Inter-and Intra-Subject Transfer Reduces Calibration Effort for High-Speed SSVEP-based BCIs
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) that can deliver high information transfer rate (ITR) usually require subject’s calibration data to learn the class-and subject-specific model parameters (e.g. the spatial filters and SSVEP templates). Normally, the amount of the calibration data for learning is proportional to the number of classes (or visual stimuli), which could be huge and consequently lead to a time-consuming calibration... Read more
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Topological Network Analysis of Early Alzheimer’s Disease Based on Resting-State EEG
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Toward Predicting Infant Developmental Outcomes from Day-Long Inertial Motion Recordings
As improvements in medicine lower infant mortality rates, more infants with neuromotor challenges survive past birth. The motor, social, and cognitive development of these infants are closely interrelated, and challenges in any of these areas can lead to developmental differences... Read more
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Dynamic Bayesian Adjustment of Dwell Time for Faster Eye Typing
Eye typing is a hands-free method of human computer interaction, which is especially useful for people with upper limb disabilities. Users select a desired key by gazing at it in an image of a keyboard for a fixed dwell time. There is a tradeoff in selecting the dwell time; shorter dwell times lead to errors due to unintentional selections, while longer dwell times lead to a slow input speed... Read more