Journal of NeuroEngineering and Rehabilitation provides a forum for researchers and clinicians interested in understanding the way neuroscience and biomedical engineering are continuing to reshape physical medicine and rehabilitation and human movement augmentation. JNER hosts the introduction of new methods and the discussion of their clinical implications, and offers an opportunity to publish, in a timely manner, articles relevant to the intersection of these three fields.
Aims and scope
COVID-19 and impact on peer review
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
Editor's picks
See what recently published articles the Editor in Chief is excited about!
Trending articles
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Article collections
Click here to see the article collections and thematic series that the journal has published in recent years.
Top in Rehabilitation
Journal of NeuroEngineering and Rehabilitation is ranked second in the Rehabilitation category by Scopus!
Celebrating 15 years of JNER !
Journal of NeuroEngineering and Rehabilitation is celebrating 15 years of publishing high quality scientific research at the intersection of neuroscience, biomedical engineering, and physical medicine and rehabilitation.
Please join our anniversary celebrations by browsing through the journal’s milestone achievements, article and blog highlights, and voices from the community.
Articles
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Statistical measures of motor, sensory and cognitive performance across repeated robot-based testing
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Assessment of dynamic balancing responses following perturbations during slow walking in relation to clinical outcome measures for high-functioning post-stroke subjects
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Predicting reactive stepping in response to perturbations by using a classification approach
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Systematic review with network meta-analysis of randomized controlled trials of robotic-assisted arm training for improving activities of daily living and upper limb function after stroke
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A review of wearable sensors and systems with application in rehabilitation
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The feasibility of a brain-computer interface functional electrical stimulation system for the restoration of overground walking after paraplegia
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Rehabilitation of gait after stroke: a review towards a top-down approach
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A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation
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Motor rehabilitation using virtual reality
Review | 11 August 2017
Advances in closed-loop deep brain stimulation devices
Mahboubeh Parastarfeizabadi and Abbas Z. Kouzani
Research | 25 November 2017
Restoration of motor control and proprioceptive and cutaneous sensation in humans with prior upper-limb amputation
Suzanne Wendelken, David M. Page, Tyler Davis, Heather A. C. Wark, David T. Kluger, Christopher Duncan, David J. Warren, Douglas T. Hutchinson and Gregory A. Clark
Research | 7 January 2017
A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees
Xiangxin Li, Oluwarotimi Williams Samuel, Xu Zhang, Hui Wang, Peng Fang and Guanglin Li
Review | 11 March 2017
Interactive wearable systems for upper body rehabilitation: a systematic review
Qi Wang, Panos Markopoulos, Bin Yu, Wei Chen and Annick Timmermans
Research | 7 June 2017
The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial
Rocco Salvatore Calabrò, Antonino Naro, Margherita Russo, Antonino Leo, Rosaria De Luca, Tina Balletta, Antonio Buda, Gianluca La Rosa, Alessia Bramanti and Placido Bramanti
Research | 11 July 2017
Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements
Agamemnon Krasoulis, Iris Kyranou, Mustapha Suphi Erden, Kianoush Nazarpour and Sethu Vijayakumar
Review | 17 February 2018
Soft robotic devices for hand rehabilitation and assistance: a narrative review
Chia-Ye Chu and Rita M. Patterson
Research | 14 August 2017
NLR, MLP, SVM, and LDA: a comparative analysis on EMG data from people with trans-radial amputation
Alberto Dellacasa Bellingegni, Emanuele Gruppioni, Giorgio Colazzo, Angelo Davalli, Rinaldo Sacchetti, Eugenio Guglielmelli and Loredana Zollo
Research | 21 February 2017
Walking in fully immersive virtual environments: an evaluation of potential adverse effects in older adults and individuals with Parkinson’s disease
Aram Kim, Nora Darakjian and James M. Finley
Review | 24 June 2017
Markerless motion capture systems as training device in neurological rehabilitation: a systematic review of their use, application, target population and efficacy
Els Knippenberg, Jonas Verbrugghe, Ilse Lamers, Steven Palmaers, Annick Timmermans and Annemie Spooren
Publication years: 2017 - 2018
Cited in 2019
Source: Web of Science, data collected: March 2020
Standards of reporting
Journal of NeuroEngineering and Rehabilitation advocates the complete and transparent reporting of research and methods. Authors are required to follow relevant reporting guidelines and append the appropriate reporting guideline checklist to their manuscript on submission, available from the EQUATOR Network. See BMC’s policy page for further information.
Call for Papers
Assistive technology and BMI
Edited by Lorenzo Masia
tDCS application for motor rehabilitation
Edited by Rodrigo Vitório, Samuel Stuart, Leigh Charvet, and Alan Godfrey
In Review
Journal of NeuroEngineering and Rehabilitation has launched In Review, a new option that provides authors with on-demand information on the status of their manuscript, enables them to share their work with funders and their research community, and allows their colleagues to comment and collaborate - all whilst their manuscript is under review.
Read moreFrom the blog
David Reinkensmeyer, Editor-in-Chief
David Reinkensmeyer is a Professor in the Department of Mechanical and Aerospace Engineering, the Department of Anatomy and Neurobiology, and the Department of Biomedical Engineering at University of California, Irvine. Prior to this, he received a B.S. degree in electrical engineering from the Massachusetts Institute of Technology, and M.S. and Ph.D. degrees in electrical engineering from the University of California, Berkeley. He was a postdoctoral fellow then research assistant professor in the Sensory Motor Performance Program, Rehabilitation Institute of Chicago and Department of Physical Medicine and Rehabilitation, Northwestern University Medical School, before joining U.C Irvine in 1998. Prof. Reinkensmeyer's research interests include neuromuscular control, motor learning, robotics, and rehabilitation.
In 2019, David Reinkensmeyer was elected as fellow of American Institute for Medical and Biological Engineering (AIMBE) to recognize his innovative contributions to rehabilitation robotics and neural engineering, and for design of practical devices to enhance patient recovery.
Annual Journal Metrics
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Speed
83 days to first decision for reviewed manuscripts only
58 days to first decision for all manuscripts
184 days from submission to acceptance
21 days from acceptance to publicationCitation Impact
3.582 - 2-year Impact Factor
4.632 - 5-year Impact Factor
1.853 - Source Normalized Impact per Paper (SNIP)
1.298 - SCImago Journal Rank (SJR)Usage
930,510 Downloads
897 Altmetric mentions
