AIMC Topic: Mobility Limitation

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Identifying factors associated with locomotive syndrome using machine learning methods: The third survey of the research on osteoarthritis/osteoporosis against disability study.

Geriatrics & gerontology international Jun 29, 2024
AIM: To identify factors associated with locomotive syndrome (LS) using medical questionnaire data and machine learning.
Machine Learning Osteoporosis Female Risk Factors Aged Aged, 80 and over Humans Disability Evaluation Syndrome Osteoarthritis Japan Locomotion Mobility Limitation Male Middle Aged Risk Assessment Surveys and Questionnaires ROC Curve
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Artificial intelligence model to identify elderly patients with locomotive syndrome: A cross-section study.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association Feb 8, 2022
BACKGROUND: Identifying elderly individuals with locomotive syndrome is important to prevent disability in this population. Although screening tools for locomotive syndrome are available, these require time commitment and are limited by an individual...
Syndrome Gait Locomotion Mobility Limitation Humans Artificial Intelligence Aged Cross-Sectional Studies
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Machine Learning Algorithm Identifies the Importance of Environmental Factors for Hospital Discharge to Home of Stroke Patients using Wheelchair after Discharge.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 21, 2021
BACKGROUND AND PURPOSE: Physical environmental factors are generally likely to become barriers for discharge to home of wheelchair users, compared with non-wheelchair users. However, the importance of environmental factors has not been investigated a...
Humans Machine Learning Decision Support Techniques Male Stroke Self-Help Devices Treatment Outcome Activities of Daily Living Mobility Limitation Environment Design Housing Disability Evaluation Stroke Rehabilitation Patient Discharge Databases, Factual Wheelchairs Clinical Decision-Making Female Aged Aged, 80 and over
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Effect of Robot Assisted Gait Training on Motor and Walking Function in Patients with Subacute Stroke: A Random Controlled Study.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Apr 22, 2021
BACKGROUND: Robot-assisted gait training has been confirmed to have beneficial effect on the rehabilitation of stroke patients. An exoskeleton robot, named BEAR-H1, is designed to help stroke patients with walking disabilities.
Lower Extremity Recovery of Function Robotics Functional Status Single-Blind Method Male Middle Aged China Time Factors Treatment Outcome Stroke Rehabilitation Mobility Limitation Walk Test Stroke Gait Gait Analysis Exoskeleton Device Motor Activity Humans Prospective Studies Female Adult
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Development and Validation of Machine Learning-Based Prediction for Dependence in the Activities of Daily Living after Stroke Inpatient Rehabilitation: A Decision-Tree Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Sep 28, 2020
BACKGROUND AND PURPOSE: Accurate prediction using simple and changeable variables is clinically meaningful because some known-predictors, such as stroke severity and patients age cannot be modified with rehabilitative treatment. There are limited cli...
Recovery of Function Predictive Value of Tests Stroke Activities of Daily Living Stroke Rehabilitation Mobility Limitation Clinical Decision Rules Middle Aged Risk Assessment Treatment Outcome Inpatients Decision Trees Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Humans Machine Learning Databases, Factual Female
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Challenges of Developing a Natural Language Processing Method With Electronic Health Records to Identify Persons With Chronic Mobility Disability.

Archives of physical medicine and rehabilitation May 21, 2020
OBJECTIVE: To assess the utility of applying natural language processing (NLP) to electronic health records (EHRs) to identify individuals with chronic mobility disability.
Colorectal Neoplasms Male Middle Aged Persons with Disabilities Natural Language Processing Wheelchairs Mobility Limitation Electronic Health Records Humans Female Aged Young Adult Adult
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Augmented Performance Feedback during Robotic Gait Therapy Results in Moderate Intensity Cardiovascular Exercise in Subacute Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Mar 31, 2020
BACKGROUND: Low cardiovascular fitness is common poststroke. Conventional subacute stroke rehabilitation does not meet Australian National Stroke Guidelines for cardiovascular exercise, particularly in mobility-dependent patients. Walking robotics ca...
Treatment Outcome Health Status Recovery of Function Robotics Oxygen Consumption Augmented Reality Stroke Gait Exercise Therapy Exercise Tolerance Patient Satisfaction Female Aged Male Humans Middle Aged Prospective Studies Time Factors Cardiorespiratory Fitness Stroke Rehabilitation Mobility Limitation Feedback, Psychological
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GEARing smart environments for pediatric motor rehabilitation.

Journal of neuroengineering and rehabilitation Feb 10, 2020
BACKGROUND: There is a lack of early (infant) mobility rehabilitation approaches that incorporate natural and complex environments and have the potential to concurrently advance motor, cognitive, and social development. The Grounded Early Adaptive Re...
Motor Activity Interpersonal Relations Mobility Limitation Infant Child, Preschool Humans Robotics Algorithms Down Syndrome Female Male Developmental Disabilities Orthotic Devices
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Machine learning methods are comparable to logistic regression techniques in predicting severe walking limitation following total knee arthroplasty.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA Dec 12, 2019
PURPOSE: Machine-learning methods are flexible prediction algorithms with potential advantages over conventional regression. This study aimed to use machine learning methods to predict post-total knee arthroplasty (TKA) walking limitation, and to com...
Logistic Models Humans Treatment Outcome Machine Learning Registries Female Mobility Limitation Prognosis Walking Aged Arthroplasty, Replacement, Knee Male Middle Aged Postoperative Complications
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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...
Robotics Disability Evaluation Time and Motion Studies Exercise Test Humans Middle Aged Gait Disorders, Neurologic Gait Female Quality of Life Mobility Limitation Exercise Therapy Aged Surveys and Questionnaires Aged, 80 and over Treatment Outcome Male Parkinson Disease
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