AIMC Topic: Stroke
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Effects of robot-assisted walking training on balance, motor function, and ADL depending on severity levels in stroke patients.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2024
BACKGROUND: Despite the explosive increase in interest regarding Robot-Assisted Walking Training (RAWT) for stroke patients, very few studies have divided groups according to the severity levels of patients and conducted studies on the effects of RAW...
Effects of high-intensity interval robot-assisted gait training on cardiopulmonary function and walking ability in chronic stroke survivors: A multicenter single-blind randomized controlled trial.
Journal of back and musculoskeletal rehabilitation
Jan 1, 2024
BACKGROUND: Chronic stroke can impair cardiopulmonary function, mobility, and daily activities. This study assessed the impact of robot-assisted gait training (RAGT) on such impairments.
Effects of robot-assisted upper limb training combined with intermittent theta burst stimulation (iTBS) on cortical activation in stroke patients: A functional near-infrared spectroscopy study.
NeuroRehabilitation
Jan 1, 2024
BACKGROUND: The therapeutic effect and mechanism of robot-assisted upper limb training (RT) combined with intermittent theta burst stimulation (iTBS) for stroke patients are unclear.
Implementation of a robot-mediated upper limb rehabilitation protocol for a customized treatment after stroke: A retrospective analysis.
NeuroRehabilitation
Jan 1, 2024
BACKGROUND: Many authors have emphasized the need for individualized treatments in rehabilitation, but no tailored robotic rehabilitation protocol for stroke patients has been established yet.
Effect of acupuncture combined with lower limb gait rehabilitation robot on improving walking function in stroke patients with hemiplegia.
NeuroRehabilitation
Jan 1, 2024
BACKGROUND: No study has yet demonstrated the effect of lower limb gait rehabilitation robot treatment combined with acupuncture on stroke patients.
A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke.
Journal of X-ray science and technology
Jan 1, 2024
BACKGROUND: Alberta stroke program early CT score (ASPECTS) is a semi-quantitative evaluation method used to evaluate early ischemic changes in patients with acute ischemic stroke, which can guide physicians in treatment decisions and prognostic judg...
Robotic Rehabilitation in Children.
Psychiatria Danubina
Dec 1, 2023
The robot assisted rehabilitation constitutes a recent therapeutic opportunity for the motor disorders in children with neurological disabilities. Robot-based devices are useful to promote improvements in sensorimotor and cognitive process. Robot-ass...
Deep Learning of Electrocardiograms in Sinus Rhythm From US Veterans to Predict Atrial Fibrillation.
JAMA cardiology
Dec 1, 2023
IMPORTANCE: Early detection of atrial fibrillation (AF) may help prevent adverse cardiovascular events such as stroke. Deep learning applied to electrocardiograms (ECGs) has been successfully used for early identification of several cardiovascular di...
End-effector lower limb robot-assisted gait training effects in subacute stroke patients: A randomized controlled pilot trial.
Medicine
Oct 20, 2023
BACKGROUND: This pilot study investigated end-effector lower limb rehabilitation robot training effects in subacute stroke patients.
Influence of Robotic Therapy on Severe Stroke Patients.
IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Sep 1, 2023
Robotic rehabilitation has emerged as a promising approach to enhance motor recovery after stroke, but there is limited knowledge about its efficacy in individuals who have experienced severe stroke. The study presented in this paper aims to analyze ...
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