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Source: Journal of NeuroEngineering and Rehabilitation
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Total 406 results found since Jan 2013.
Spatiotemporal, kinematic and kinetic assessment of the effects of a foot drop stimulator for home-based rehabilitation of patients with chronic stroke: a randomized clinical trial
Gait disability affects the daily lives of patients with stroke in both home and community settings. An abnormal foot –ankle position can cause instability on the supporting surface and negatively affect gait. ...
Source: Journal of NeuroEngineering and Rehabilitation - June 7, 2022 Category: Rehabilitation Authors: Yu Rong Mao, Jiang Li Zhao, Min Jie Bian, Wai Leung Ambrose Lo, Yan Leng, Rui Hao Bian and Dong Feng Huang Tags: Research Source Type: research
Wearable airbag technology and machine learned models to mitigate falls after stroke
Falls are a common complication experienced after a stroke and can cause serious detriments to physical health and social mobility, necessitating a dire need for intervention. Among recent advancements, wearab...
Source: Journal of NeuroEngineering and Rehabilitation - June 17, 2022 Category: Rehabilitation Authors: Olivia K. Botonis, Yaar Harari, Kyle R. Embry, Chaithanya K. Mummidisetty, David Riopelle, Matt Giffhorn, Mark V. Albert, Vallery Heike and Arun Jayaraman Tags: Research Source Type: research
Examining the effectiveness of virtual, augmented, and mixed reality (VAMR) therapy for upper limb recovery and activities of daily living in stroke patients: a systematic review and meta-analysis
Virtual reality (VR), augmented reality (AR), and mixed reality (MR) are emerging technologies in the field of stroke rehabilitation that have the potential to overcome the limitations of conventional treatmen...
Source: Journal of NeuroEngineering and Rehabilitation - August 24, 2022 Category: Rehabilitation Authors: Sze Chit Leong, Yuk Ming Tang, Fong Mei Toh and Kenneth N. K. Fong Tags: Review Source Type: research
Cross-validation of predictive models for functional recovery after post-stroke rehabilitation
Rehabilitation treatments and services are essential for the recovery of post-stroke patients ’ functions; however, the increasing number of available therapies and the lack of consensus among outcome measures ...
Source: Journal of NeuroEngineering and Rehabilitation - September 7, 2022 Category: Rehabilitation Authors: Silvia Campagnini, Piergiuseppe Liuzzi, Andrea Mannini, Benedetta Basagni, Claudio Macchi, Maria Chiara Carrozza and Francesca Cecchi Tags: Research Source Type: research
Hybrid robot-assisted gait training for motor function in subacute stroke: a single-blind randomized controlled trial
Robot-assisted gait training (RAGT) is a practical treatment that can complement conventional rehabilitation by providing high-intensity repetitive training for patients with stroke. RAGT systems are usually e...
Source: Journal of NeuroEngineering and Rehabilitation - September 14, 2022 Category: Rehabilitation Authors: Yen-Nung Lin, Shih-Wei Huang, Yi-Chun Kuan, Hung-Chou Chen, Wen-Shan Jian and Li-Fong Lin Tags: Research Source Type: research
Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk
Significant variability exists in how real-world walking has been measured in prior studies in individuals with stroke and it is unknown which measures are most important for cardiovascular risk. It is also un...
Source: Journal of NeuroEngineering and Rehabilitation - October 14, 2022 Category: Rehabilitation Authors: Allison Miller, Zachary Collier and Darcy S. Reisman Tags: Research Source Type: research
Performing a shortened version of the Action Research Arm Test in immersive virtual reality to assess post-stroke upper limb activity
To plan treatment and measure post-stroke recovery, frequent and time-bounded functional assessments are recommended. With increasing needs for neurorehabilitation advances, new technology based methods, such ...
Source: Journal of NeuroEngineering and Rehabilitation - December 3, 2022 Category: Rehabilitation Authors: Quentin Burton, Thierry Lejeune, St éphanie Dehem, Noémie Lebrun, Khawla Ajana, Martin Gareth Edwards and Gauthier Everard Tags: Research Source Type: research
Interaction of network and rehabilitation therapy parameters in defining recovery after stroke in a Bilateral Neural Network
Restoring movement after hemiparesis caused by stroke is an ongoing challenge in the field of rehabilitation. With several therapies in use, there is no definitive prescription that optimally maps parameters o...
Source: Journal of NeuroEngineering and Rehabilitation - December 19, 2022 Category: Rehabilitation Authors: Sundari Elango, Amal Jude Ashwin Francis and V. Srinivasa Chakravarthy Tags: Research Source Type: research
Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation
Brain-Computer Interfaces (BCI) promote upper limb recovery in stroke patients reinforcing motor related brain activity (from electroencephalogaphy, EEG). Hybrid BCIs which include peripheral signals (electrom...
Source: Journal of NeuroEngineering and Rehabilitation - January 14, 2023 Category: Rehabilitation Authors: Floriana Pichiorri, Jlenia Toppi, Valeria de Seta, Emma Colamarino, Marcella Masciullo, Federica Tamburella, Matteo Lorusso, Febo Cincotti and Donatella Mattia Tags: Research Source Type: research
Effects of dynamic body weight support on functional independence measures in acute ischemic stroke: a retrospective cohort study
Stroke remains a major public health concern in the United States and a leading cause of long-term disability in adults. Dynamic body weight support (DBWS) systems are popular technology available for use in c...
Source: Journal of NeuroEngineering and Rehabilitation - January 16, 2023 Category: Rehabilitation Authors: Justin Huber, Nicholas Elwert, Elizabeth Salmon Powell, Philip M. Westgate, Emily Hines and Lumy Sawaki 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
Validating stroke-induced bilateral ankle coordination deficits using bilateral ankle measure relationship with motor functions in lower limbs
Coordinated control between the bilateral ankle joints plays an important role in performing daily life functions, such as walking and running. However, few studies have explored the impact of stroke on moveme...
Source: Journal of NeuroEngineering and Rehabilitation - March 17, 2023 Category: Rehabilitation Authors: Jia-Lan Chang, Hung-Ju Chen, Po-Yin Chen, Li-Wei Chou, Chien-Hung Lai, Yueh-Hsun Lu, Shang-Lin Chiang, Chia-Huei Lin, Xin-Miao Wang and Chueh-Ho Lin Tags: Research Source Type: research
Immediate improvements in post-stroke gait biomechanics are induced with both real-time limb position and propulsive force biofeedback
Paretic propulsion [measured as anteriorly-directed ground reaction forces (AGRF)] and trailing limb angle (TLA) show robust inter-relationships, and represent two key modifiable post-stroke gait variables tha...
Source: Journal of NeuroEngineering and Rehabilitation - March 31, 2023 Category: Rehabilitation Authors: Vincent Santucci, Zahin Alam, Justin Liu, Jacob Spencer, Alec Faust, Aijalon Cobb, Joshua Konantz, Steven Eicholtz, Steven Wolf and Trisha M. Kesar Tags: Research Source Type: research
Comparison of wrist actimetry variables of paretic upper limb use in post stroke patients for ecological monitoring
The objective of this stud...
Source: Journal of NeuroEngineering and Rehabilitation - April 27, 2023 Category: Rehabilitation Authors: Gilles Dusfour, Denis Mottet, Makii Muthalib, Isabelle Laffont and Karima Bakhti Tags: Research Source Type: research
Gait training with a wearable powered robot during stroke rehabilitation: a randomized parallel-group trial
We have developed a wearable rehabilitation robot, “curara®,” and examined its immediate effect in patients with spinocerebellar degeneration and stroke, but its rehabilitative effect has not been clarified. T...
Source: Journal of NeuroEngineering and Rehabilitation - April 28, 2023 Category: Rehabilitation Authors: Daichi Miyagawa, Akira Matsushima, Yoichi Maruyama, Noriaki Mizukami, Mikio Tetsuya, Minoru Hashimoto and Kunihiro Yoshida Tags: Research Source Type: research
