AIMC Topic: Stroke Rehabilitation
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Clinician perceptions of a novel wearable robotic hand orthosis for post-stroke hemiparesis.
Disability and rehabilitation
Jul 8, 2024
PURPOSE: Wearable robotic devices are currently being developed to improve upper limb function for individuals with hemiparesis after stroke. Incorporating the views of clinicians during the development of new technologies can help ensure that end pr...
Evidence that robot-assisted gait training modulates neuroplasticity after stroke: An fMRI pilot study based on graph theory analysis.
Brain research
Jul 6, 2024
OBJECTIVES: To investigate alterations of whole-brain network after stroke and therapeutic mechanisms of robot-assisted gait training (RAGT).
The effect of robot-assisted versus standard training on motor function following subacute rehabilitation after ischemic stroke - protocol for a randomised controlled trial nested in a prospective cohort (RoboRehab).
BMC neurology
Jul 4, 2024
BACKGROUND: Body weight unloaded treadmill training has shown limited efficacy in further improving functional capacity after subacute rehabilitation of ischemic stroke patients. Dynamic robot assisted bodyweight unloading is a novel technology that ...
Letter to the Editor: "The Combined Effect of Robot-assisted Therapy and Activities of Daily Living Training on Upper Limb Recovery in Persons With Subacute Stroke: A Randomized Controlled Trial".
Archives of physical medicine and rehabilitation
Jul 2, 2024
Hybrid Brain-Computer Interface Controlled Soft Robotic Glove for Stroke Rehabilitation.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Soft robotic glove controlled by a brain-computer interface (BCI) have demonstrated effectiveness in hand rehabilitation for stroke patients. Current systems rely on static visual representations for patients to perform motor imagination (MI) tasks, ...
Deep Learning-Enhanced Internet of Things for Activity Recognition in Post-Stroke Rehabilitation.
IEEE journal of biomedical and health informatics
Jul 2, 2024
Wearable sensors provide a more effective means of activity monitoring and management by recording patients' daily activity data for assessing their daily function and rehabilitation progress, as well as providing a convenient and practical solution ...
Predicting recovery following stroke: Deep learning, multimodal data and feature selection using explainable AI.
NeuroImage. Clinical
Jul 2, 2024
Machine learning offers great potential for automated prediction of post-stroke symptoms and their response to rehabilitation. Major challenges for this endeavour include the very high dimensionality of neuroimaging data, the relatively small size of...
Robot-aided assessment and associated brain lesions of impaired ankle proprioception in chronic stroke.
Journal of neuroengineering and rehabilitation
Jun 24, 2024
BACKGROUND: Impaired ankle proprioception strongly predicts balance dysfunction in chronic stroke. However, only sparse data on ankle position sense and no systematic data on ankle motion sense dysfunction in stroke are available. Moreover, the lesio...
Upper Limb Robots for Recovery of Motor Arm Function in Patients With Stroke: A Systematic Review and Meta-Analysis.
Neurology
Jun 13, 2024
BACKGROUND AND OBJECTIVES: Robot technology to support upper limb (UL) rehabilitation poststroke has rapidly developed over the past 3 decades. We aimed to assess the effects of UL-robots (UL-RTs) on recovery of UL motor functioning and capacity post...
Post-stroke hand gesture recognition via one-shot transfer learning using prototypical networks.
Journal of neuroengineering and rehabilitation
Jun 12, 2024
BACKGROUND: In-home rehabilitation systems are a promising, potential alternative to conventional therapy for stroke survivors. Unfortunately, physiological differences between participants and sensor displacement in wearable sensors pose a significa...
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