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Source: Journal of NeuroEngineering and Rehabilitation
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Total 406 results found since Jan 2013.
Dissociating motor learning from recovery in exoskeleton training post-stroke
A large number of robotic or gravity-supporting devices have been developed for rehabilitation of upper extremity post-stroke. Because these devices continuously monitor performance data during training, they ...
Source: Journal of NeuroEngineering and Rehabilitation - October 5, 2018 Category: Rehabilitation Authors: Nicolas Schweighofer, Chunji Wang, Denis Mottet, Isabelle Laffont, Karima Bakthi, David J. Reinkensmeyer and Olivier R émy-Néris Tags: Research Source Type: research
Kinect-based assessment of proximal arm non-use after a stroke
After a stroke, during seated reaching with their paretic upper limb, many patients spontaneously replace the use of their arm by trunk compensation movements, even though they are able to use their arm when f...
Source: Journal of NeuroEngineering and Rehabilitation - November 14, 2018 Category: Rehabilitation Authors: K. K. A. Bakhti, I. Laffont, M. Muthalib, J. Froger and D. Mottet Tags: Research Source Type: research
Transcranial direct current stimulation (tDCS) for upper limb rehabilitation after stroke: future directions.
Transcranial Direct Current Stimulation (tDCS) is a potentially useful tool to improve upper limb rehabilitation outcomes after stroke, although its effects in this regard have shown to be limited so far. Addi...
Source: Journal of NeuroEngineering and Rehabilitation - November 15, 2018 Category: Rehabilitation Authors: Bernhard Elsner, Joachim Kugler and Jan Mehrholz Tags: Commentary Source Type: research
On the design of EEG-based movement decoders for completely paralyzed stroke patients
Brain machine interface (BMI) technology has demonstrated its efficacy for rehabilitation of paralyzed chronic stroke patients. The critical component in BMI-training consists of the associative connection (co...
Source: Journal of NeuroEngineering and Rehabilitation - November 20, 2018 Category: Rehabilitation Authors: Martin Sp üler, Eduardo López-Larraz and Ander Ramos-Murguialday Tags: Research Source Type: research
Dynamic balance and instrumented gait variables are independent predictors of falls following stroke
This study aimed to investigate the predictive strength of gait and balance variables for evaluating post-strok...
Source: Journal of NeuroEngineering and Rehabilitation - January 7, 2019 Category: Rehabilitation Authors: Kelly Bower, Shamala Thilarajah, Yong-Hao Pua, Gavin Williams, Dawn Tan, Benjamin Mentiplay, Linda Denehy and Ross Clark Tags: Research Source Type: research
A modified standardized nine hole peg test for valid and reliable kinematic assessment of dexterity post-stroke
Impairments in dexterity after stroke are commonly assessed by the Nine Hole Peg Test (NHPT), where the only outcome variable is the time taken to complete the test. We aimed to kinematically quantify and to c...
Source: Journal of NeuroEngineering and Rehabilitation - January 14, 2019 Category: Rehabilitation Authors: Gudrun M Johansson and Charlotte K H äger Tags: Research Source Type: research
Novel gait training alters functional brain connectivity during walking in chronic stroke patients: a randomized controlled pilot trial
A recent study has demonstrated that a turning-based treadmill program yields greater improvements in gait speed and temporal symmetry than regular treadmill training in chronic stroke patients. However, it re...
Source: Journal of NeuroEngineering and Rehabilitation - February 28, 2019 Category: Rehabilitation Authors: I-Hsuan Chen, Yea-Ru Yang, Chia-Feng Lu and Ray-Yau Wang Tags: Research Source Type: research
Applying LDA-based pattern recognition to predict isometric shoulder and elbow torque generation in individuals with chronic stroke with moderate to severe motor impairment
Abnormal synergy is a major stroke-related movement impairment that presents as an unintentional contraction of muscles throughout a limb. The flexion synergy, consisting of involuntary flexion coupling of the...
Source: Journal of NeuroEngineering and Rehabilitation - March 5, 2019 Category: Rehabilitation Authors: Joseph V. Kopke, Levi J. Hargrove and Michael D. Ellis Tags: Research Source Type: research
Boosting robot-assisted rehabilitation of stroke hemiparesis by individualized selection of upper limb movements – a pilot study
Intensive robot-assisted training of the upper limb after stroke can reduce motor impairment, even at the chronic stage. However, the effectiveness of practice for recovery depends on the selection of the prac...
Source: Journal of NeuroEngineering and Rehabilitation - March 20, 2019 Category: Rehabilitation Authors: Orna Rosenthal, Alan M. Wing, Jeremy L. Wyatt, David Punt, Briony Brownless, Chit Ko-Ko and R. Christopher Miall Tags: Research Source Type: research
Mechanics and energetics of post-stroke walking aided by a powered ankle exoskeleton with speed-adaptive myoelectric control
Ankle exoskeletons offer a promising opportunity to offset mechanical deficits after stroke by applying the needed torque at the paretic ankle. Because joint torque is related to gait speed, it is important to...
Source: Journal of NeuroEngineering and Rehabilitation - May 15, 2019 Category: Rehabilitation Authors: Emily M. McCain, Taylor J. M. Dick, Tracy N. Giest, Richard W. Nuckols, Michael D. Lewek, Katherine R. Saul and Gregory S. Sawicki Tags: Research Source Type: research
Distal versus proximal - an investigation on different supportive strategies by robots for upper limb rehabilitation after stroke: a randomized controlled trial
This study compared the rehabilitation effectiveness achieved by ele...
Source: Journal of NeuroEngineering and Rehabilitation - June 3, 2019 Category: Rehabilitation Authors: Qiuyang QIAN, Chingyi Nam, Ziqi Guo, Yanhuan Huang, Xiaoling Hu, Stephanie C. Ng, Yongping Zheng and Waisang Poon Tags: Research Source Type: research
What is the impact of user affect on motor learning in virtual environments after stroke? A scoping review
The purported affective impact of virtual reality (VR) and active video gaming (AVG) systems is a key marketing strategy underlying their use in stroke rehabilitation, yet little is known as to how affective c...
Source: Journal of NeuroEngineering and Rehabilitation - June 27, 2019 Category: Rehabilitation Authors: Nina Rohrbach, Emily Chicklis and Danielle Elaine Levac Tags: Review Source Type: research
End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke
For evaluation of upper limb impairment and activity capacity, Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and Action Research Arm Test (ARAT) are recommended to be included in stroke trials. To improve ...
Source: Journal of NeuroEngineering and Rehabilitation - July 1, 2019 Category: Rehabilitation Authors: Netha Hussain, Katharina S. Sunnerhagen and Margit Alt Murphy Tags: Research Source Type: research
Intensive virtual reality and robotic based upper limb training compared to usual care, and associated cortical reorganization, in the acute and early sub-acute periods post-stroke: a feasibility study
This study was conducted to test the feasibility of providing intensive thera...
Source: Journal of NeuroEngineering and Rehabilitation - July 17, 2019 Category: Rehabilitation Authors: Jigna Patel, Gerard Fluet, Qinyin Qiu, Mathew Yarossi, Alma Merians, Eugene Tunik and Sergei Adamovich Tags: Research Source Type: research
Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback
Add-on robot-mediated therapy has proven to be more effective than conventional therapy alone in post-stroke gait rehabilitation. Such robot-mediated interventions routinely use also visual biofeedback tools. ...
Source: Journal of NeuroEngineering and Rehabilitation - July 23, 2019 Category: Rehabilitation Authors: Federica Tamburella, Juan C. Moreno, Diana Sof ía Herrera Valenzuela, Iolanda Pisotta, Marco Iosa, Febo Cincotti, Donatella Mattia, José L. Pons and Marco Molinari Tags: Research Source Type: research
