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Source: Journal of NeuroEngineering and Rehabilitation
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Total 22 results found since Jan 2013.

Assessment of biofeedback rehabilitation in post-stroke patients combining fMRI and gait analysis: a case study
Conclusions: Our findings showed that this methodology allows evaluation of the relationship between alterations in gait and brain activation of a post-stroke patient. Such methodology, if applied on a larger sample subjects, could provide information about the specific motor area involved in a rehabilitation treatment.
Source: Journal of NeuroEngineering and Rehabilitation - April 9, 2014 Category: Rehabilitation Authors: Silvia Del DinAlessandra BertoldoZimi SawachaJohanna JonsdottirMarco RabuffettiClaudio CobelliMaurizio Ferrarin Source Type: research

The application of precisely controlled functional electrical stimulation to the shoulder, elbow and wrist for upper limb stroke rehabilitation: a feasibility study
Conclusions: This feasibility study indicates that technology comprising low-cost hardware fused with advanced FES controllers accurately assists upper limb movement and may reduce upper limb impairments following stroke.
Source: Journal of NeuroEngineering and Rehabilitation - June 30, 2014 Category: Rehabilitation Authors: Katie MeadmoreTimothy ExellEmma HallewellAnn-Marie HughesChris FreemanMustafa KutluValerie BensonEric RogersJane Burridge Source Type: research

Efficacy of virtual reality-based intervention on balance and mobility disorders post-stroke: a scoping review
Rehabilitation interventions involving virtual reality (VR) technology have been developed for the promotion of functional independence post stroke. A scoping review was performed to examine the efficacy of VR-based interventions on balance and mobility disorders post stroke. Twenty-four articles in the English language examining VR game-based interventions and outcomes directed at balance and mobility disorders were included. Various VR systems (customized and commercially available) were used as rehabilitation tools. Outcome measures included laboratory and clinical measures of balance and gait. Outcome measures of dynam...
Source: Journal of NeuroEngineering and Rehabilitation - May 10, 2015 Category: Rehabilitation Authors: Anuja DarekarBradford McFadyenAnouk LamontagneJoyce Fung Source Type: research

Bimanual motor skill learning with robotics in chronic stroke: comparison between minimally impaired and moderately impaired patients, and healthy individuals
Most activities of daily life (ADL) require cooperative bimanual movements. A unilateral stroke may severely impair bimanual ADL. How patients with stroke (re)learn to coordinate their upper limbs (ULs) is lar...
Source: Journal of NeuroEngineering and Rehabilitation - March 17, 2022 Category: Rehabilitation Authors: Elo ïse Gerardin, Damien Bontemps, Nicolas-Thomas Babuin, Benoît Herman, Adrien Denis, Benoît Bihin, Maxime Regnier, Maria Leeuwerck, Thierry Deltombe, Audrey Riga and Yves Vandermeeren Tags: Research Source Type: research

Effect of a mixed reality-based intervention on arm, hand, and finger function on chronic stroke
Virtual and mixed reality systems have been suggested to promote motor recovery after stroke. Basing on the existing evidence on motor learning, we have developed a portable and low-cost mixed reality tabletop...
Source: Journal of NeuroEngineering and Rehabilitation - May 11, 2016 Category: Rehabilitation Authors: Carolina Colomer, Roberto Llorens, Enrique Noé and Mariano Alcañiz Source Type: research

Nonlinear mixed-effects model reveals a distinction between learning and performance in intensive reach training post-stroke
We recently showed that individuals with chronic stroke who completed two sessions of intensive unassisted arm reach training exhibited improvements in movement times up to one month post-training. Here, we st...
Source: Journal of NeuroEngineering and Rehabilitation - March 17, 2017 Category: Rehabilitation Authors: Hyeshin Park and Nicolas Schweighofer Source Type: research

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

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

Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms
Compensatory movements are commonly employed by stroke survivors during seated reaching and may have negative effects on their long-term recovery. Detecting compensation is useful for coaching the patient to r...
Source: Journal of NeuroEngineering and Rehabilitation - November 4, 2019 Category: Rehabilitation Authors: Siqi Cai, Guofeng Li, Xiaoya Zhang, Shuangyuan Huang, Haiqing Zheng, Ke Ma and Longhan Xie Tags: Research Source Type: research

Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use
After stroke, kinematic measures obtained with non-robotic and robotic devices are highly recommended to precisely quantify the sensorimotor impairments of the upper-extremity and select the most relevant ther...
Source: Journal of NeuroEngineering and Rehabilitation - September 29, 2020 Category: Rehabilitation Authors: Nabila Brihmat, Isabelle Loubinoux, Evelyne Castel-Lacanal, Philippe Marque and David Gasq Tags: Research Source Type: research

Predicting patient-reported outcome of activities of daily living in stroke rehabilitation: a machine learning study
Machine Learning is increasingly used to predict rehabilitation outcomes in stroke in the context of precision rehabilitation and patient-centered care. However, predictors for patient-centered outcome measure...
Source: Journal of NeuroEngineering and Rehabilitation - February 23, 2023 Category: Rehabilitation Authors: Yu-Wen Chen, Keh-chung Lin, Yi-chun Li and Chia-Jung Lin Tags: Research Source Type: research

Facilitating myoelectric-control with transcranial direct current stimulation: a preliminary study in healthy humans
This study on 12 healthy volunteers was conducted to investigate the effects of anodal tDCS of the primary motor cortex (M1) and cerebellum on latencies during isometric contraction of tibialis anterior (TA) muscle for myoelectric visual pursuit with quick initiation/termination of muscle activation i.e. 'ballistic EMG control' as well as modulation of EMG for 'proportional EMG control'. Results: The normalized delay in initiation and termination of muscle activity during post-intervention 'ballistic EMG control' trials showed a significant main effect of the anodal tDCS target: cerebellar, M1, sham (F(2) = 2.33, p
Source: Journal of NeuroEngineering and Rehabilitation - February 10, 2014 Category: Rehabilitation Authors: Anirban DuttaWalter PaulusMichael Nitsche Source Type: research

Shotgun approaches to gait analysis: insights & limitations
Discussion & conclusion: Extracting a measure's classification capacity cannot solely rely on its statistical validity but typically requires proper post-hoc analysis. However, choosing the latter inevitably introduces some arbitrariness, which may affect outcome in general. We hence advocate the use of generic expert systems, possibly based on machine-learning.
Source: Journal of NeuroEngineering and Rehabilitation - August 12, 2014 Category: Rehabilitation Authors: Ronald KapteinDaphne WezenbergTrienke IJmkerHan HoudijkPeter BeekClaudine LamothAndreas Daffertshofer Source Type: research

Correction to: Dissociating motor learning from recovery in exoskeleton training post-stroke
The original article [1] contained an error whereby the co-author, Karima Bakhti ’s name was displayed incorrectly.
Source: Journal of NeuroEngineering and Rehabilitation - December 17, 2018 Category: Rehabilitation Authors: Nicolas Schweighofer, Chunji Wang, Denis Mottet, Isabelle Laffont, Karima Bakhti, David J. Reinkensmeyer and Olivier R émy-Néris Tags: Correction Source Type: research

Adaptive multichannel FES neuroprosthesis with learning control and automatic gait assessment
FES (Functional Electrical Stimulation) neuroprostheses have long been a permanent feature in the rehabilitation and gait support of people who had a stroke or have a Spinal Cord Injury (SCI). Over time the we...
Source: Journal of NeuroEngineering and Rehabilitation - February 28, 2020 Category: Rehabilitation Authors: Philipp M üller, Antonio J. del Ama, Juan C. Moreno and Thomas Schauer Tags: Research Source Type: research