AIMC Topic: Stroke
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The effect of using Gait Exercise Assist Robot (GEAR) on gait pattern in stroke patients: a cross-sectional pilot study.
Topics in stroke rehabilitation
Sep 4, 2019
: The Gait Exercise Assist Robot (GEAR) has been developed to support gait training for stroke patients. The GEAR can assist paretic lower limb swing and stance stability, which make it possible to practice walking without excessive compensation move...
Stacked Bidirectional Convolutional LSTMs for Deriving 3D Non-Contrast CT From Spatiotemporal 4D CT.
IEEE transactions on medical imaging
Sep 2, 2019
The imaging workup in acute stroke can be simplified by deriving non-contrast CT (NCCT) from CT perfusion (CTP) images. This results in reduced workup time and radiation dose. To achieve this, we present a stacked bidirectional convolutional LSTM (C-...
Artificial intelligence as an emerging technology in the current care of neurological disorders.
Journal of neurology
Aug 26, 2019
BACKGROUND: Artificial intelligence (AI) has influenced all aspects of human life and neurology is no exception to this growing trend. The aim of this paper is to guide medical practitioners on the relevant aspects of artificial intelligence, i.e., m...
Effects of a robot intervention on visuospatial hemineglect in postacute stroke patients: a randomized controlled trial.
Clinical rehabilitation
Aug 13, 2019
OBJECTIVE: To evaluate the effects of an intervention using the robot device PARO on visuospatial hemineglect and activities of daily living, and its acceptance during stroke rehabilitation. PARO is an interactive robotic toy with the appearance of a...
Development of a biological signal-based evaluator for robot-assisted upper-limb rehabilitation: a pilot study.
Australasian physical & engineering sciences in medicine
Aug 1, 2019
Bio-signal based assessment for upper-limb functions is an attractive technology for rehabilitation. In this work, an upper-limb function evaluator is developed based on biological signals, which could be used for selecting different robotic training...
Robot-assisted gait training for balance and lower extremity function in patients with infratentorial stroke: a single-blinded randomized controlled trial.
Journal of neuroengineering and rehabilitation
Jul 29, 2019
BACKGROUND: Balance impairments are common in patients with infratentorial stroke. Although robot-assisted gait training (RAGT) exerts positive effects on balance among patients with stroke, it remains unclear whether such training is superior to con...
Influences of the biofeedback content on robotic post-stroke gait rehabilitation: electromyographic vs joint torque biofeedback.
Journal of neuroengineering and rehabilitation
Jul 23, 2019
BACKGROUND: Add-on robot-mediated therapy has proven to be more effective than conventional therapy alone in post-stroke gait rehabilitation. Such robot-mediated interventions routinely use also visual biofeedback tools. A better understanding of bio...
Validation of computerized square-drawing based evaluation of motor function in patients with stroke.
Medical engineering & physics
Jul 22, 2019
Human-administered clinical scales are commonly used for quantifying motor performance and determining the course of therapy in post-stroke individuals. Computerized methods aim to improve consistency, resolution and duration of patients' evaluation....
Robot-Assisted Arm Training in Chronic Stroke: Addition of Transition-to-Task Practice.
Neurorehabilitation and neural repair
Jul 22, 2019
. Robot-assisted therapy provides high-intensity arm rehabilitation that can significantly reduce stroke-related upper extremity (UE) deficits. Motor improvement has been shown at the joints trained, but generalization to real-world function has not ...
Telemedicine, Telestroke, and Artificial Intelligence Can Be Coded with the International Classification of Health Interventions.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Jul 16, 2019
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