AIMC Topic: Disability Evaluation

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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...
Retrospective Studies Female Aged Male Middle Aged Humans Prospective Studies Stroke Gait Paresis Exoskeleton Device Motor Activity Stroke Rehabilitation Time Factors Treatment Outcome Recovery of Function Robotics Disability Evaluation
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Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients.

Archives of physical medicine and rehabilitation Sep 16, 2020
OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation outcomes for postacute hip fracture patients.
Female Physical Therapy Modalities Aged Rehabilitation Centers Aged, 80 and over Treatment Outcome Subacute Care Male Humans Occupational Therapy Surveys and Questionnaires Disability Evaluation Machine Learning Geriatric Assessment Retrospective Studies Hip Fractures
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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...
Humans Retrospective Studies Treatment Outcome Lower Extremity Recovery of Function Robotics Disability Evaluation Equipment Design Female Aged Aged, 80 and over Male Middle Aged Exoskeleton Device Stroke Rehabilitation Stroke Gait Feasibility Studies Activities of Daily Living Propensity Score
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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...
Disability Evaluation Stroke Therapy, Computer-Assisted Diagnosis, Computer-Assisted Deep Learning Support Vector Machine Magnetic Resonance Imaging Predictive Value of Tests Humans Machine Learning Decision Support Techniques Brain Prognosis Tomography, X-Ray Computed Severity of Illness Index
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Can robotic gait rehabilitation plus Virtual Reality affect cognitive and behavioural outcomes in patients with chronic stroke? A randomized controlled trial involving three different protocols.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 13, 2020
BACKGROUND: The rehabilitation of cognitive and behavioral abnormalities in individuals with stroke is essential for promoting patient's recovery and autonomy. The aim of our study is to evaluate the effects of robotic neurorehabilitation using Lokom...
Virtual Reality Exposure Therapy Stroke Rehabilitation Executive Function Gait Female Chronic Disease Exercise Therapy Adult Robotics Attention Treatment Outcome Mental Health Disability Evaluation Humans Quality of Life Activities of Daily Living Health Status Male Italy Recovery of Function Stroke Middle Aged Time Factors Cognition Affect
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Machine learning analysis of motor evoked potential time series to predict disability progression in multiple sclerosis.

BMC neurology Mar 21, 2020
BACKGROUND: Evoked potentials (EPs) are a measure of the conductivity of the central nervous system. They are used to monitor disease progression of multiple sclerosis patients. Previous studies only extracted a few variables from the EPs, which are ...
Humans Machine Learning Multiple Sclerosis Female Datasets as Topic Male Belgium Disease Progression Evoked Potentials, Motor Logistic Models Disability Evaluation
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Robotic-assisted hand therapy for improvement of hand function in children with cerebral palsy: a case series study.

European journal of physical and rehabilitation medicine Jan 14, 2020
BACKGROUND: Most types of robot-assisted training (RT) have been used in Cerebral Palsy (CP) patients only focus on proximal upper extremity. Few of study investigated the effect of distal upper extremity training.
Recovery of Function Robotics Disability Evaluation Hand Electromyography Exercise Therapy Cerebral Palsy Female Exoskeleton Device Male Adolescent Child Hand Strength Humans Prospective Studies
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Subgrouping Factors Influencing Migraine Intensity in Women: A Semi-automatic Methodology Based on Machine Learning and Information Geometry.

Pain practice : the official journal of World Institute of Pain Dec 2, 2019
BACKGROUND: Migraine is a heterogeneous condition with multiple clinical manifestations. Machine learning algorithms permit the identification of population groups, providing analytical advantages over other modeling techniques.
Humans Migraine Disorders Machine Learning Disability Evaluation Female Physical Examination Adult Middle Aged
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Unilateral vs Bilateral Hybrid Approaches for Upper Limb Rehabilitation in Chronic Stroke: A Randomized Controlled Trial.

Archives of physical medicine and rehabilitation Aug 14, 2019
OBJECTIVE: To investigate the effects of unilateral hybrid therapy (UHT) and bilateral hybrid therapy (BHT) compared with robot-assisted therapy (RT) alone in patients with chronic stroke.
Disability Evaluation Single-Blind Method Exercise Therapy Male Upper Extremity Humans Activities of Daily Living Middle Aged Stroke Rehabilitation Female Range of Motion, Articular Recovery of Function Aged Chronic Disease Adult Robotics Biomechanical Phenomena
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Clinical effects of robot-assisted gait training and treadmill training for Parkinson's disease. A randomized controlled trial.

Annals of physical and rehabilitation medicine Aug 1, 2019
BACKGROUND: Although gait disorders strongly contribute to perceived disability in people with Parkinson's disease, clinical trials have failed to identify which task-oriented gait training method can provide the best benefit. Freezing of gait remain...
Treatment Outcome Parkinson Disease Robotics Disability Evaluation Exercise Test Humans Aged, 80 and over Gait Female Male Exercise Therapy Aged Middle Aged Time and Motion Studies Quality of Life Gait Disorders, Neurologic Surveys and Questionnaires Mobility Limitation
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