AIMC Topic: Postural Balance
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The effects of light touch cue on gait initiation in patients with Parkinson's disease.
Journal of bodywork and movement therapies
Sep 2, 2020
INTRODUCTION: One of the common impairments in patients with Parkinson's disease (PD) is disturbance of gait initiation. A light touch cue improves postural stability in patients with PD. Little is known about the effects of a light touch cue on gait...
Mediolateral damping of an overhead body weight support system assists stability during treadmill walking.
Journal of neuroengineering and rehabilitation
Aug 10, 2020
BACKGROUND: Body weight support systems with three or more degrees of freedom (3-DoF) are permissive and safe environments that provide unloading and allow unrestricted movement in any direction. This enables training of walking and balance control a...
Using robotic mechanical perturbations for enhanced balance assessment.
Medical engineering & physics
Jul 15, 2020
Balance impairment is critical for many patient groups such as those with neural and musculoskeletal disorders and also the elderly. Accurate and objective assessment of balance performance has led to the development of several indices based on the m...
Controller synthesis and clinical exploration of wearable gyroscopic actuators to support human balance.
Scientific reports
Jun 26, 2020
Gyroscopic actuators are appealing for wearable applications due to their ability to provide overground balance support without obstructing the legs. Multiple wearable robots using this actuation principle have been proposed, but none has yet been ev...
Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults.
PloS one
Jun 25, 2020
BACKGROUND: Falls in the elderly are a major public health concern because of their high incidence, the involvement of many risk factors, the considerable post-fall morbidity and mortality, and the health-related and social costs. Given that many fal...
Rehabilitation of older people with Parkinson's disease: an innovative protocol for RCT study to evaluate the potential of robotic-based technologies.
BMC neurology
May 13, 2020
BACKGROUND: Parkinson's disease is one of the most frequent causes of disability among the older adults. It is a chronic-progressive neuro-degenerative disease, characterized by several motor disorders. Balance disorders are a symptom that involves t...
Gait-Based Machine Learning for Classifying Patients with Different Types of Mild Cognitive Impairment.
Journal of medical systems
Apr 23, 2020
Mild cognitive impairment (MCI) may be caused by Alzheimer's disease, Parkinson's disease (PD), cerebrovascular accident, nutritional or metabolic disorders, or mental disorders. It is important to determine the cause and treatment of dementia as ear...
A deep learning tool for fully automated measurements of sagittal spinopelvic balance from X-ray images: performance evaluation.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Apr 11, 2020
PURPOSE: The purpose of this study is to evaluate the performance of a novel deep learning (DL) tool for fully automated measurements of the sagittal spinopelvic balance from X-ray images of the spine in comparison with manual measurements.
The detection of age groups by dynamic gait outcomes using machine learning approaches.
Scientific reports
Mar 10, 2020
Prevalence of gait impairments increases with age and is associated with mobility decline, fall risk and loss of independence. For geriatric patients, the risk of having gait disorders is even higher. Consequently, gait assessment in the clinics has ...
Machine learning-based motor assessment of Parkinson's disease using postural sway, gait and lifestyle features on crowdsourced smartphone data.
Biomedical physics & engineering express
Mar 4, 2020
OBJECTIVES: Remote assessment of gait in patients' homes has become a valuable tool for monitoring the progression of Parkinson's disease (PD). However, these measurements are often not as accurate or reliable as clinical evaluations because it is ch...
Motor Skills
Crowdsourcing
Tremor
Area Under Curve
Postural Balance
Remote Sensing Technology
Walking
Gait
Pattern Recognition, Automated
Accelerometry
Wearable Electronic Devices
Life Style
Humans
Smartphone
Machine Learning
Posture
Female
Parkinson Disease
Reproducibility of Results
Middle Aged
Aged
Disease Progression
Male
Diagnosis, Computer-Assisted
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