AIMC Topic: Stroke

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Deep learning-based behavioral profiling of rodent stroke recovery.

BMC biology Oct 15, 2022
BACKGROUND: Stroke research heavily relies on rodent behavior when assessing underlying disease mechanisms and treatment efficacy. Although functional motor recovery is considered the primary targeted outcome, tests in rodents are still poorly reprod...
Rodentia Deep Learning Mice Stroke Brain Ischemia Disease Models, Animal Humans Animals
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Human-Robot Cooperative Strength Training Based on Robust Admittance Control Strategy.

Sensors (Basel, Switzerland) Oct 12, 2022
A stroke is a common disease that can easily lead to lower limb motor dysfunction in the elderly. Stroke survivors can effectively train muscle strength through leg flexion and extension training. However, available lower limb rehabilitation robots i...
Quadriceps Muscle Robotics Stroke Humans Aged Resistance Training Range of Motion, Articular
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An Artificial Intelligence-Based Bio-Medical Stroke Prediction and Analytical System Using a Machine Learning Approach.

Computational intelligence and neuroscience Oct 12, 2022
Stroke-related disabilities can have a major negative effect on the economic well-being of the person. When left untreated, a stroke can be fatal. According to the findings of this study, people who have had strokes generally have abnormal biosignals...
Support Vector Machine Stroke Humans Artificial Intelligence Machine Learning Algorithms
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Reversing the Ruin: Rehabilitation, Recovery, and Restoration After Stroke.

Current neurology and neuroscience reports Oct 1, 2022
PURPOSE OF REVIEW: Stroke is a common cause of disability in aging adults. A given individual's needs after stroke vary as a function of the stroke extent and location. The purpose of this review was to discuss recent clinical investigations addressi...
Adult Speech Humans Robotics Stroke Stroke Rehabilitation Cognition Recovery of Function
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Interpretable deep learning for the prognosis of long-term functional outcome post-stroke using acute diffusion weighted imaging.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Sep 28, 2022
Advances in deep learning can be applied to acute stroke imaging to build powerful and explainable prediction models that could supersede traditionally used biomarkers. We aimed to evaluate the performance and interpretability of a deep learning mode...
Brain Ischemia Diffusion Magnetic Resonance Imaging Deep Learning Stroke Humans Prognosis
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Revisiting dose and intensity of training: Opportunities to enhance recovery following stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 23, 2022
PURPOSE: Stroke is a global leading cause of adult disability with survivors often enduring persistent impairments and loss of function. Both intensity and dosage of training appear to be important factors to help restore behavior. However, current p...
Adult Robotics Humans Physical Therapy Modalities Stroke Rehabilitation Stroke Exercise Therapy
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Robotic Biofeedback for Post-Stroke Gait Rehabilitation: A Scoping Review.

Sensors (Basel, Switzerland) Sep 22, 2022
This review aims to recommend directions for future research on robotic biofeedback towards prompt post-stroke gait rehabilitation by investigating the technical and clinical specifications of biofeedback systems (BSs), including the complementary us...
Humans Robotics Stroke Gait Stroke Rehabilitation Robotic Surgical Procedures Biofeedback, Psychology
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Experiences of patients who had a stroke and rehabilitation professionals with upper limb rehabilitation robots: a qualitative systematic review protocol.

BMJ open Sep 19, 2022
INTRODUCTION: Emerging evidence suggests that robotic devices for upper limb rehabilitation after a stroke may improve upper limb function. For robotic upper limb rehabilitation in stroke to be successful, patients' experiences and those of the rehab...
Stroke Rehabilitation Caregivers Upper Extremity Humans Adult Systematic Reviews as Topic Stroke Robotics
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Efficacy of Robots-Assisted Therapy in Patients With Stroke: A Meta-analysis Update.

The Journal of cardiovascular nursing Sep 17, 2022
BACKGROUND: Robot-assisted therapy (RAT) could address an unmet need to relieve the strain on healthcare providers and intensify treatment in the context of an increasing stroke incidence. A comprehensive meta-analysis could provide firmer data about...
Pain Stroke Rehabilitation Robotics Stroke Humans
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Internet of Things (IoT) Enables Robot-Assisted Therapy as a Home Program for Training Upper Limb Functions in Chronic Stroke: A Randomized Control Crossover Study.

Archives of physical medicine and rehabilitation Sep 16, 2022
OBJECTIVE: To compare the effects of using an Internet of things (IoT)-assisted tenodesis-induced-grip exoskeleton robot (TIGER) and task-specific motor training (TSMT) as home programs for the upper-limb (UL) functions of patients with chronic strok...
Upper Extremity Stroke Rehabilitation Cross-Over Studies Internet of Things Treatment Outcome Recovery of Function Stroke Exercise Therapy Robotics Humans
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