Journal of NeuroEngineering and Rehabilitation

Discover the Editor-in-Chief David Reinkensmeyer's 2018 picks

The Editor’s pick have brought new insights in user-driven prosthetic arm design, autonomous multi-joint soft exosuits and virtual rehabilitation in stroke.

Case-study of a user-driven prosthetic arm design: bionic hand versus customized body-powered technology in a highly demanding work environment
Wolf Schweitzer et al.

Autonomous multi-joint soft exosuit with augmentation-power-based control parameter tuning reduces energy cost of loaded walking
Sangjun Lee et al.

What do randomized controlled trials say about virtual rehabilitation in stroke? A systematic literature review and meta-analysis of upper-limb and cognitive outcomes
Anna Aminov et al.

Featured article: Autonomous multi-joint soft exosuit with augmentation-power-based control parameter tuning reduces energy cost of loaded walking

Content type: Research
| 16 January 2019

User activity recognition system to improve the performance of environmental control interfaces: a pilot study with patients

Authors: Arturo Bertomeu-Motos, Santiago Ezquerro, Juan A. Barios, Luis D. Lledó, Sergio Domingo, Marius Nann, Suzanne Martin, Surjo R. Soekadar and Nicolas Garcia-Aracil
Content type: Research
| 14 January 2019

Physical activity in wheelchair-using youth with spina bifida: an observational study

Authors: Manon A. T. Bloemen, Rita J. G. van den Berg-Emons, Matthijs Tuijt, Carla F. J. Nooijen, Tim Takken, Frank J. G. Backx, Marleen Vos and Janke F. de Groot
Content type: Research
| 14 January 2019

A modified standardized nine hole peg test for valid and reliable kinematic assessment of dexterity post-stroke

Authors: Gudrun M Johansson and Charlotte K Häger
Content type: Research
| 9 January 2019

Control of cortical oscillatory frequency by a closed-loop system

Authors: Mattia D’Andola, Massimiliano Giulioni, Vittorio Dante, Paolo Del Giudice and Maria V. Sanchez-Vives
Content type: Research
| 7 January 2019

Dynamic balance and instrumented gait variables are independent predictors of falls following stroke

Authors: Kelly Bower, Shamala Thilarajah, Yong-Hao Pua, Gavin Williams, Dawn Tan, Benjamin Mentiplay, Linda Denehy and Ross Clark

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Content type: Review
| 20 April 2012

A review of wearable sensors and systems with application in rehabilitation

Authors: Shyamal Patel, Hyung Park, Paolo Bonato, Leighton Chan and Mary Rodgers
Content type: Research
| 24 September 2015

The feasibility of a brain-computer interface functional electrical stimulation system for the restoration of overground walking after paraplegia

Authors: Christine E. King, Po T. Wang, Colin M. McCrimmon, Cathy CY Chou, An H. Do and Zoran Nenadic
Content type: Review
| 13 December 2011

Rehabilitation of gait after stroke: a review towards a top-down approach

Authors: Juan-Manuel Belda-Lois, Silvia Mena-del Horno, Ignacio Bermejo-Bosch, Juan C Moreno, José L Pons, Dario Farina, Marco Iosa, Marco Molinari, Federica Tamburella, Ander Ramos, Andrea Caria, Teodoro Solis-Escalante, Clemens Brunner and Massimiliano Rea
Content type: Research
| 1 March 2005

A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation

Authors: Emil Jovanov, Aleksandar Milenkovic, Chris Otto and Piet C de Groen
Content type: Research
| 20 May 2013

Early changes in muscle atrophy and muscle fiber type conversion after spinal cord transection and peripheral nerve transection in rats

Authors: Kosaku Higashino, Tetsuya Matsuura, Katsuyoshi Suganuma, Kiminori Yukata, Toshihiko Nishisho and Natsuo Yasui

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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: tDCS application for motor rehabilitation

This series aims to address topics such as theoretical, methodological, and practical approaches to be considered when designing tDCS-based rehabilitation. Submission of both experimental and review studies is encouraged.

Submit here

Aims and scope

Journal of NeuroEngineering and Rehabilitation considers manuscripts on all aspects of research that result from cross-fertilization of the fields of neuroscience, biomedical engineering, and physical medicine and rehabilitation. JNER provides a forum for researchers and clinicians interested in understanding the way neuroscience and biomedical engineering are continuing to reshape physical medicine and rehabilitation. 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.

From the blog

New intelligent systems predict behavior to improve accessibility in persons with disabilities

16 January 2019
Home treatment of Parkinson’s disease through remotely supervised brain stimulation

10 December 2018
Using wireless motion sensors to improve movement control of the lower back

26 September 2018

Article collections

tDCS application for motor rehabilitation
Edited by Rodrigo Vitório, Samuel Stuart, Leigh Charvet and Alan Godfrey

Advances and challenges in the user evaluation and application of robotic assistive technologies: Insights from the first Cybathlon
Edited by: Olivier Lambercy and Roger Gassert

Biomechanics and Neural Control of Movement
Edited by: Daniel Ferris

Virtual reality-based applications for neurorehabilitation
Edited by: Sergi Bermúdez i Badia and Roberto Lloréns Rodríguez

Technically-advanced assessments in sensory motor rehabilitation
Edited by: Thierry Keller, Verena Klamroth-Marganska, and Robert Riener

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David Reinkensmeyer, Editor-in-Chief

David Reinkensmeyer is 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.

Journal of NeuroEngineering and Rehabilitation

Discover the Editor-in-Chief David Reinkensmeyer's 2018 picks

Featured article: Autonomous multi-joint soft exosuit with augmentation-power-based control parameter tuning reduces energy cost of loaded walking

Articles

User activity recognition system to improve the performance of environmental control interfaces: a pilot study with patients

Physical activity in wheelchair-using youth with spina bifida: an observational study

A modified standardized nine hole peg test for valid and reliable kinematic assessment of dexterity post-stroke

Control of cortical oscillatory frequency by a closed-loop system

Dynamic balance and instrumented gait variables are independent predictors of falls following stroke

A review of wearable sensors and systems with application in rehabilitation

The feasibility of a brain-computer interface functional electrical stimulation system for the restoration of overground walking after paraplegia

Rehabilitation of gait after stroke: a review towards a top-down approach

A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation

Early changes in muscle atrophy and muscle fiber type conversion after spinal cord transection and peripheral nerve transection in rats

Standards of reporting

Call for papers: tDCS application for motor rehabilitation

Aims and scope

From the blog

New intelligent systems predict behavior to improve accessibility in persons with disabilities

Home treatment of Parkinson’s disease through remotely supervised brain stimulation

Using wireless motion sensors to improve movement control of the lower back

Article collections

David Reinkensmeyer, Editor-in-Chief

2017 Journal Metrics

Journal of NeuroEngineering and Rehabilitation

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