AIMC Topic: Postural Balance
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Fast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks.
Journal of neuroengineering and rehabilitation
Jun 11, 2019
BACKGROUND: Falls in the elderly constitute a major health issue associated to population ageing. Current clinical tests evaluating fall risk mostly consist in assessing balance abilities. The devices used for these tests can be expensive or inconven...
Machine Learning Groups Patients by Early Functional Improvement Likelihood Based on Wearable Sensor Instrumented Preoperative Timed-Up-and-Go Tests.
The Journal of arthroplasty
Jun 5, 2019
BACKGROUND: Wearable sensors permit efficient data collection and unobtrusive systems can be used for instrumenting knee patients for objective assessment. Machine learning can be leveraged to parse the abundant information these systems provide and ...
Artificial intelligence for understanding concussion: Retrospective cluster analysis on the balance and vestibular diagnostic data of concussion patients.
PloS one
Apr 2, 2019
OBJECTIVES: We propose a bottom-up, machine-learning approach, for the objective vestibular and balance diagnostic data of concussion patients, to provide insight into the differences in patients' phenotypes, independent of existing diagnoses (unsupe...
Neuropsychological Tests
Sports
Brain Concussion
Dizziness
Vestibular Diseases
Post-Concussion Syndrome
Vestibule, Labyrinth
Cluster Analysis
Vision Disorders
Postural Balance
Headache
Adult
Male
Diagnosis, Computer-Assisted
Adolescent
Humans
Artificial Intelligence
Retrospective Studies
Female
Young Adult
Robot-assisted therapy for balance function rehabilitation after stroke: A systematic review and meta-analysis.
International journal of nursing studies
Mar 28, 2019
OBJECTIVE: To identify the rehabilitative effects of robot-assisted therapy on balance function among stroke patients.
An Evaluation of the Effect of Vision on Standing Stability in the Early Stage of Parkinson's Disease.
European neurology
Feb 7, 2019
BACKGROUND: Postural instability is a common disorder in Parkinson's disease (PD). The aim of this study was to evaluate stance stability of the subjects at the early stage of PD with both linear and nonlinear approaches. Moreover, this study aimed t...
Automatically Evaluating Balance: A Machine Learning Approach.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jan 4, 2019
Compared to in-clinic balance training, in-home training is not as effective. This is, in part, due to the lack of feedback from physical therapists (PTs). In this paper, we analyze the feasibility of using trunk sway data and machine learning (ML) t...
Distributed Repetitive Learning Control for Cooperative Cadence Tracking in Functional Electrical Stimulation Cycling.
IEEE transactions on cybernetics
Dec 10, 2018
Closed-loop control of functional electrical stimulation coupled with motorized assistance to induce cycling is a rehabilitative strategy that can improve the mobility of people with neurological conditions (NCs). However, robust control methods, whi...
Robot-assisted gait training effectively improved lateropulsion in subacute stroke patients: a single-blinded randomized controlled trial.
European journal of physical and rehabilitation medicine
Dec 3, 2018
BACKGROUND: Some stroke patients are known to use nonparetic extremities to push toward the paretic side, a movement known as lateropulsion. Lateropulsion impairs postural balance and interferes with rehabilitation.
Effects of robot-(Morning Walk) assisted gait training for patients after stroke: a randomized controlled trial.
Clinical rehabilitation
Oct 16, 2018
OBJECTIVE:: To investigate the effects of Morning Walk-assisted gait training for patients with stroke.
Do powered over-ground lower limb robotic exoskeletons affect outcomes in the rehabilitation of people with acquired brain injury?
Disability and rehabilitation. Assistive technology
Sep 21, 2018
To assess the effects of lower limb robotic exoskeletons on outcomes in the rehabilitation of people with acquired brain injury. A systematic review of seven electronic databases was conducted. The primary outcome of interest was neuromuscular funct...
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