Transactions on Neural Systems and Rehabilitation Engineering

Featured Articles
Experimental results using force-feedback cueing in robot-assisted stroke therapy
Michelle J. Johnson, H. F. Machiel Van der Loos, C.G. Burgar
Abstract:Stroke is the leading cause of disability among adults in the United States. Behaviors such as learned nonuse hinder hemiplegic stroke survivors from the full use of both arms in activities of daily living. Active force-feedback cues, designed to restrain... Read more
Posted on 26 MAR 2021
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Feasibility of Augmenting Ankle Exoskeleton Walking Performance With Step Length Biofeedback in Individuals With Cerebral Palsy
Ying Fang, Zachary F. Lerner
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... Read more
Posted on 26 MAR 2021
Articles
Massage Therapy’s Effectiveness on the decoding EEG rhythms of Left/Right Motor Imagery and Motion Execution in Patients with Skeletal Muscle Pain
Huihui Li, Kai Fan, Junsong Ma, Bo Wang, Xiaohao Qiao, Yan Yan, Wenjing Du, Lei Wanga
Objective: Most of effectiveness assessments of the widely-used Massage therapy were based on subjective routine clinical assessment tools, such as Visual Analogue Scale (VAS) score. However, few studies demonstrated the impact of massage on the Electroencephalograph (EEG) rhythm decoding of... Read more
Posted on 4 FEB 2021
Articles
LoCoMo-Net: A Low-Complex Deep Learning Framework for sEMG Based Hand Movement Recognition for Prosthetic Control
Arvind Gautam, Madhuri Panwar, Archana Wankhede, Sridhar Arjunan, Ganesh Naik, Amit Charyya, Dinesh Kumar
Background: The enhancement in the performance of the myoelectric pattern recognition techniques based on deep learning algorithm possess computationally expensive and exhibit extensive memory behavior. Therefore, in this paper we report a deep learning framework named ‘Low-Complex Movement recognition-Net’ (LoCoMo-Net)... Read more
Posted on 17 SEP 2020
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Bilevel Optimization for Cost Function Determination in Dynamic Simulation of Human Gait
Vinh Q. Nguyen, Russell T. Johnson, Frank C. Sup, Brian R. Umberger
      Predictive simulation based on dynamic optimization using musculoskeletal models is a powerful approach for studying human gait. Predictive musculoskeletal simulation may be used for a variety of applications from designing assistive devices to testing theories of motor control. However, the... Read more
Posted on 18 JUL 2019
Featured Articles
Synergy-Based FES for Post-Stroke Rehabilitation of Upper-Limb Motor Functions
Chuanxin M. Niu, Yong Bao, Cheng Zhuang, Si Li, Tong Wang, Lijun Cui, Qing Xie, Ning Lan
        Functional electrical stimulation (FES) is capable of activating muscles that are under-recruited in neurological diseases, such as stroke. Therefore, FES provides a promising technology for assisting upper-limb motor functions in rehabilitation following stroke. However, the full benefits of FES may... Read more
Posted on 21 FEB 2019
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
Stephanie Huang, He Huang
  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... Read more
Posted on 29 JAN 2019
Articles, Published Articles
EMG Pattern Recognition Control of the DEKA Arm: Impact on User Ratings of Satisfaction and Usability
Linda Resnik, Frantzy Acluche, Matt Borgia, Gail A. Latlief, Sam Phillips
     Abstract The DEKA Arm has multiple degrees of freedom which historically have been operated primarily by inertial measurement units (IMUs). However, the IMUs are not appropriate for all potential users; new control methods are needed. The purposes of this study were:... Read more
Posted on 9 JAN 2019
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Unimanual vs Bimanual Motor Imagery Classifiers for Assistive and Rehabilitative Brain Computer Interfaces
Vuckovic Aleksandra, Pangaro Sara, Putri Finda
   Bimanual movements are an integral part of everyday activities and are often included in rehabilitation therapies. Yet electroencephalography (EEG) based assistive and rehabilitative brain computer interface (BCI) systems typically rely on motor imagination (MI) of one limb at the time.... Read more
Posted on 7 DEC 2018
Featured Articles
Functional selectivity of lumbosacral stimulation: Methodological approach and pilot study to assess visceral function in pigs
Thomas Guiho, Christine Azevedo-Coste, David Andreu, Claire Delleci, Luc Bauchet, Jean-Rodolphe Vignes, David Guiraud
Nearly all spinal cord injured (SCI) individuals lose bladder control and are prone to kidney complications if intermittent catheterization is not applied. Electrical stimulation (ES) of the sacral anterior roots with an implantable neuroprosthesis is one means to restore continence... Read more
Posted on 19 NOV 2018