Transactions on Neural Systems and Rehabilitation Engineering
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...
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Posted on 11 JUN 2021
Featured Articles
Feasibility of Augmenting Ankle Exoskeleton Walking Performance With Step Length Biofeedback in Individuals With Cerebral Palsy
Most people with cerebral palsy (CP) suffer from impaired walking ability and pathological gait patterns. Seeking to improve the effectiveness of gait training in this patient population, this study developed and assessed the feasibility of a real-time biofeedback mechanism to...
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Posted on 26 MAR 2021
Articles
Semi-automated control system for reaching movements in EMG shoulder disarticulation prosthesis based on mixed reality device
Goal: The development of a control system for an electromyographic shoulder disarticulation (EMG-SD) prosthesis to rapidly achieve a task with a reduction in the operational failure of the user. Methods: The motion planning of an EMG-SD prosthesis was automated using...
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Posted on 10 FEB 2021
Articles, Uncategorized
Face Coverings, Aerosol Dispersion and Mitigation of Virus Transmission Risk
Ignazio Maria Viola, Brian Peterson, Gabriele Pisetta, Geethanjali Pavar, Hibbah Akhtar, Filippo Menolascina, Enzo Mangano, Katherine Dunn, Roman Gabl, Alex Nila, Emanuela Molinari, Cathal Cummins, Gerard Thompson, Milly T. Y. Lo, Fiona Charlotte Denison, Paul Digard, Omair Malik, Mark J. G. Dunn, Catherine M. Mcdougall, Felicity V. Mehendale
The SARS-CoV-2 virus is primarily transmitted through virus-laden fluid particles ejected from the mouth of infected people. Face covers can mitigate the risk of virus transmission but their outward effectiveness is not fully ascertained. Objective: by using a background oriented...
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Posted on 24 JAN 2021
Articles
Registration Techniques for Clinical Applications of Three-Dimensional Augmented Reality Devices
Christopher M. Andrews, Alexander B. Henry, Ignacio M. Soriano, Michael K. Southworth, Jonathan R. Silva
Many clinical procedures would benefit from direct and intuitive real-time visualization of anatomy, surgical plans, or other information crucial to the procedure. Three-dimensional augmented reality (3D-AR) is an emerging technology that has the potential to assist physicians with spatial reasoning...
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Posted on 30 DEC 2020
Featured Articles
Voluntary Control of Residual Antagonistic Muscles in Transtibial Amputees: Feedforward Ballistic Contractions and Implications for Direct Neural Control of Powered Lower Limb Prostheses
Discrete, rapid (i.e., ballistic like) muscle activation patterns have been observed in ankle muscles (i.e., plantar flexors and dorsiflexors) of able-bodied individuals during voluntary posture control. This observation motivated us to investigate whether transtibial amputees are capable of generating such...
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Posted on 29 JAN 2019
Featured Articles
Gestural Interaction and Visual Illusion for Lower Limbs’ Neuropathic Pain Treatment
Pain caused by a lesion or a disease affecting the somatosensory nervous system is known as Neuropathic pain. It has been shown that neuropathic pain can be treated with the combination of simultaneous transcranial direct current stimulation and the generation...
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Posted on 19 NOV 2018
Featured Articles
Biomedical Serious Game System for Balance Rehabilitation of Hemiparetic Stroke Patients
F. Noveletto, A.V. Soares, B.A. Mello, C.N. Sevegnani, F.L.F. Eichinger, marcelodashounsell, P. Bertemes-Filho
Hemiparetic stroke patients can have several muscular and postural disorders which compromise their balance. Serious Games (SG) emerged as a new approach to enhance conventional treatment by making it a motivating method to meet individual needs. This paper evaluated the...
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Posted on 19 NOV 2018
Featured Articles
Learning-Based Quality Control for Cardiac MR Images
Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Antonio de Marvao, Declan P. O`Regan, Stuart Cook, Ben Glocker, Paul M. Matthews, Daniel Rueckert
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the operator to correctly tune the acquisition parameters to the subject being scanned and on the potential occurrence of imaging artifacts, such as cardiac and respiratory...
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Posted on 1 NOV 2018
Articles, Published Articles
Design and Study of a Smart Cup for Monitoring the Arm and Hand Activity of Stroke Patients
This paper presents a new platform to monitor the arm and hand activity of stroke patients during rehabilitation exercises in the hospital and at home during their daily living activities. The platform provides relevant data to the therapist in order...
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Posted on 10 SEP 2018