AIMC Topic: Stroke
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Robot-Assisted Arm Training versus Therapist-Mediated Training after Stroke: A Systematic Review and Meta-Analysis.
Journal of healthcare engineering
Oct 27, 2020
BACKGROUND: More than two-thirds of stroke patients have arm motor impairments and function deficits on hospital admission, leading to diminished quality of life and reduced social participation. Robot-assisted training (RAT) is a promising rehabilit...
Robot-assisted Gait Training Using Welwalk in Hemiparetic Stroke Patients: An Effectiveness Study with Matched Control.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Oct 19, 2020
OBJECTIVE: Although studies on the efficacy of the rehabilitation robot are increasing, there are few reports using the robot for gait training in the actual clinical setting. This study aimed to investigate the effectiveness of gait training using W...
A comparison of the effects and usability of two exoskeletal robots with and without robotic actuation for upper extremity rehabilitation among patients with stroke: a single-blinded randomised controlled pilot study.
Journal of neuroengineering and rehabilitation
Oct 19, 2020
BACKGROUND: Robotic rehabilitation of stroke survivors with upper extremity dysfunction may yield different outcomes depending on the robot type. Considering that excessive dependence on assistive force by robotic actuators may interfere with the pat...
Testing a convolutional neural network-based hippocampal segmentation method in a stroke population.
Human brain mapping
Oct 16, 2020
As stroke mortality rates decrease, there has been a surge of effort to study poststroke dementia (PSD) to improve long-term quality of life for stroke survivors. Hippocampal volume may be an important neuroimaging biomarker in poststroke dementia, a...
Effects of walking distance over robot-assisted training on walking ability in chronic stroke patients.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Oct 16, 2020
An understanding of the dose-response during training is important to identify the rehabilitation programs to obtain the improvement in chronic stroke patients. The purpose of this study was to determine whether distance-dose (distance walked across ...
A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre.
Nature biomedical engineering
Oct 12, 2020
Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we report the development and validation of deep-learning models for the automated measurement of retinal-vessel calibre in retinal photographs, using divers...
Humans
Retrospective Studies
Hypertensive Retinopathy
Datasets as Topic
Coronary Disease
Photography
Retinal Vessels
Deep Learning
Body Mass Index
Blood Pressure
Glycated Hemoglobin
Adult
Myocardial Infarction
Cholesterol
Male
Retina
Stroke
Middle Aged
Image Interpretation, Computer-Assisted
Female
Risk Assessment
Risk Factors
Aged
Aged, 80 and over
Characterization and wearability evaluation of a fully portable wrist exoskeleton for unsupervised training after stroke.
Journal of neuroengineering and rehabilitation
Oct 7, 2020
BACKGROUND: Chronic hand and wrist impairment are frequently present following stroke and severely limit independence in everyday life. The wrist orientates and stabilizes the hand before and during grasping, and is therefore of critical importance i...
Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network.
Radiology
Sep 29, 2020
Background Large vessel occlusion (LVO) stroke is one of the most time-sensitive diagnoses in medicine and requires emergent endovascular therapy to reduce morbidity and mortality. Leveraging recent advances in deep learning may facilitate rapid dete...
Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use.
Journal of neuroengineering and rehabilitation
Sep 29, 2020
BACKGROUND: After stroke, kinematic measures obtained with non-robotic and robotic devices are highly recommended to precisely quantify the sensorimotor impairments of the upper-extremity and select the most relevant therapeutic strategies. Although ...
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