AIMC Topic: Stroke

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Technological Advances in Stroke Rehabilitation: Robotics and Virtual Reality.

Physical medicine and rehabilitation clinics of North America Jul 27, 2023
Robotic technology and virtual reality (VR) have been widely studied technologies in stroke rehabilitation over the last few decades. Both technologies have typically been considered as ways to enhance recovery through promoting intensive, repetitive...
Stroke Stroke Rehabilitation Recovery of Function Humans Robotics Virtual Reality
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Functional Outcome Prediction in Acute Ischemic Stroke Using a Fused Imaging and Clinical Deep Learning Model.

Stroke Jul 24, 2023
BACKGROUND: Predicting long-term clinical outcome based on the early acute ischemic stroke information is valuable for prognostication, resource management, clinical trials, and patient expectations. Current methods require subjective decisions about...
Prognosis Deep Learning Magnetic Resonance Imaging Humans Ischemic Stroke Stroke
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Novel use of robot-assisted gait rehabilitation in a patient with stroke and blindness.

BMJ case reports Jul 21, 2023
Robot-assisted gait training (RAGT) is an effective adjunctive treatment for patients with stroke that helps to regain functional mobility and is applied in many rehabilitation units for poststroke neurorecovery. We discuss our successful attempt to ...
Humans Male Quality of Life Gait Robotics Blindness Stroke
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Initial Testing of Robotic Exoskeleton Hand Device for Stroke Rehabilitation.

Sensors (Basel, Switzerland) Jul 12, 2023
The preliminary test results of a novel robotic hand rehabilitation device aimed at treatment for the loss of motor abilities in the fingers and thumb due to stroke are presented. This device has been developed in collaboration with physiotherapists ...
Stroke Rehabilitation Hand Aged Stroke Aged, 80 and over Fingers Humans Middle Aged Exoskeleton Device Robotics Clinical Trials as Topic Young Adult Adult
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Home-based upper limb stroke rehabilitation mechatronics: challenges and opportunities.

Biomedical engineering online Jul 9, 2023
Interest in home-based stroke rehabilitation mechatronics, which includes both robots and sensor mechanisms, has increased over the past 12 years. The COVID-19 pandemic has exacerbated the existing lack of access to rehabilitation for stroke survivor...
Pandemics COVID-19 Robotics Humans Stroke Aftercare Upper Extremity Patient Discharge Stroke Rehabilitation
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Application of Deep Learning Algorithm to Monitor Upper Extremity Task Practice.

Sensors (Basel, Switzerland) Jul 3, 2023
Upper extremity hemiplegia is a serious problem affecting the lives of many people post-stroke. Motor recovery requires high repetitions and quality of task-specific practice. Sufficient practice cannot be completed during therapy sessions, requiring...
Stroke Rehabilitation Algorithms Deep Learning Stroke Upper Extremity Humans Wrist
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ReachingBot: An automated and scalable benchtop device for highly parallel Single Pellet Reach-and-Grasp training and assessment in mice.

Journal of neuroscience methods Jun 16, 2023
BACKGROUND: The single pellet reaching and grasp (SPRG) task is a behavioural assay widely used to study motor learning, control and recovery after nervous system injury in animals. The manual training and assessment of the SPRG is labour intensive a...
Ischemic Stroke Hand Strength Animals Brain Ischemia Stroke Robotics Mice
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Deep Learning Versus Neurologists: Functional Outcome Prediction in LVO Stroke Patients Undergoing Mechanical Thrombectomy.

Stroke Jun 14, 2023
BACKGROUND: Despite evolving treatments, functional recovery in patients with large vessel occlusion stroke remains variable and outcome prediction challenging. Can we improve estimation of functional outcome with interpretable deep learning models u...
Treatment Outcome Ischemic Stroke Stroke Neurologists Retrospective Studies Humans Brain Ischemia Deep Learning Prognosis Thrombectomy
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Development of a program to determine optimal settings for robot-assisted rehabilitation of the post-stroke paretic upper extremity: a simulation study.

Scientific reports Jun 6, 2023
Robot-assisted therapy can effectively treat upper extremity (UE) paralysis in patients who experience a stroke. Presently, UE, as a training item, is selected according to the severity of the paralysis based on a clinician's experience. The possibil...
Upper Extremity Paralysis Robotics Stroke Humans Models, Statistical
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Label-free histological analysis of retrieved thrombi in acute ischemic stroke using optical diffraction tomography and deep learning.

Journal of biophotonics Jun 5, 2023
For patients with acute ischemic stroke, histological quantification of thrombus composition provides evidence for determining appropriate treatment. However, the traditional manual segmentation of stained thrombi is laborious and inconsistent. In th...
Deep Learning Ischemic Stroke Thrombosis Brain Ischemia Stroke Humans Tomography
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