AIMC Topic: 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 ...
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 ...
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...
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...
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...
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...
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...
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...
Artificial Intelligence in Clinical Decisions Support for Stroke: Balancing Opportunity With Caution.
Stroke
May 22, 2023
Voluntary Assist-as-Needed Controller for an Ankle Power-Assist Rehabilitation Robot.
IEEE transactions on bio-medical engineering
May 19, 2023
OBJECTIVE: Although existing assist-as-needed (AAN) controllers have been designed to adapt the robotic assistance to patients' movement performance, they ignore patient's active participation. This study proposed a voluntary AAN (VAAN) controller co...
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