AIMC Topic: Stroke
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Effects of two different robot-assisted arm training on upper limb motor function and kinematics in chronic stroke survivors: A randomized controlled trial.
Topics in stroke rehabilitation
Aug 13, 2020
BACKGROUND: Comparative studies of different robotic types are warranted to tailor robot-assisted upper limb training to patient's functional level.
Machine Learning Prediction of Stroke Mechanism in Embolic Strokes of Undetermined Source.
Stroke
Aug 12, 2020
BACKGROUND AND PURPOSE: One-fifth of ischemic strokes are embolic strokes of undetermined source (ESUS). Their theoretical causes can be classified as cardioembolic versus noncardioembolic. This distinction has important implications, but the categor...
Multi-frequency symmetry difference electrical impedance tomography with machine learning for human stroke diagnosis.
Physiological measurement
Aug 11, 2020
OBJECTIVE: Multi-frequency symmetry difference electrical impedance tomography (MFSD-EIT) can robustly detect and identify unilateral perturbations in symmetric scenes. Here, an investigation is performed to assess if the algorithm can be successfull...
Caregiver burden in stroke inpatients: a randomized study comparing robot-assisted gait training and conventional therapy.
Acta neurologica Belgica
Aug 10, 2020
The effects of caregiver burden during the inpatient rehabilitation period have not yet been investigated. The purpose of this study was to evaluate the burden on stroke survivors' caregivers during the inpatient rehabilitation period, and to compare...
Effects of Exoskeletal Lower Limb Robot Training on the Activities of Daily Living in Stroke Patients: Retrospective Pre-Post Comparison Using Propensity Score Matched Analysis.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Aug 5, 2020
PURPOSE: There is limited evidence of gait training using newly developed exoskeletal lower limb robot called Hybrid Assistive Limb (HAL) on the function and ability to perform ADL in stroke patients. In clinical settings, we frequently find it chall...
Tele-robotics and artificial-intelligence in stroke care.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Aug 5, 2020
In the last forty years, the field of medicine has experienced dramatic shifts in technology-enhanced surgical procedures - from its initial use in 1985 for neurosurgical biopsies to current implementation of systems such as magnetic-guided catheters...
Stroke prognostication for discharge planning with machine learning: A derivation study.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Aug 5, 2020
Post-stroke discharge planning may be aided by accurate early prognostication. Machine learning may be able to assist with such prognostication. The study's primary aim was to evaluate the performance of machine learning models using admission data t...
Improving abnormal gait patterns by using a gait exercise assist robot (GEAR) in chronic stroke subjects: A randomized, controlled, pilot trial.
Gait & posture
Jul 29, 2020
BACKGROUND: Although the Gait Exercise Assist Robot (GEAR) has been reported to effectively improve gait of hemiplegic patients, no study has investigated its use in chronic stroke patients. It is possible to facilitate gait reorganization by gait tr...
Machine Learning for Brain Stroke: A Review.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
Jul 28, 2020
Machine Learning (ML) delivers an accurate and quick prediction outcome and it has become a powerful tool in health settings, offering personalized clinical care for stroke patients. An application of ML and Deep Learning in health care is growing ho...
Reliability of the thumb localizing test and its validity against quantitative measures with a robotic device in patients with hemiparetic stroke.
PloS one
Jul 24, 2020
OBJECTIVES: To examine the inter-rater reliability of the thumb localizing test (TLT) and its validity against quantitative measures of proprioception.
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