AIMC Topic: Postural Balance
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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...
Parkinson Disease
Area Under Curve
Postural Balance
Remote Sensing Technology
Diagnosis, Computer-Assisted
Wearable Electronic Devices
Smartphone
Posture
Life Style
Motor Skills
Crowdsourcing
Humans
Tremor
Machine Learning
Walking
Female
Gait
Reproducibility of Results
Pattern Recognition, Automated
Accelerometry
Aged
Male
Middle Aged
Disease Progression
Assessment of Balance Control Subsystems by Artificial Intelligence.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jan 15, 2020
Recent studies have shown that balance performance assessment based on artificial intelligence (AI) is feasible. However, balance control is very complex and requires different subsystems to participate, which have not been evaluated individually yet...
Fall Risk Prediction in Multiple Sclerosis Using Postural Sway Measures: A Machine Learning Approach.
Scientific reports
Nov 6, 2019
Numerous postural sway metrics have been shown to be sensitive to balance impairment and fall risk in individuals with MS. Yet, there are no guidelines concerning the most appropriate postural sway metrics to monitor impairment. This investigation im...
A Robust Balance-Control Framework for the Terrain-Blind Bipedal Walking of a Humanoid Robot on Unknown and Uneven Terrain.
Sensors (Basel, Switzerland)
Sep 27, 2019
Research on a terrain-blind walking control that can walk stably on unknown and uneven terrain is an important research field for humanoid robots to achieve human-level walking abilities, and it is still a field that needs much improvement. This pape...
Using supervised learning machine algorithm to identify future fallers based on gait patterns: A two-year longitudinal study.
Experimental gerontology
Sep 11, 2019
INTRODUCTION: Given their major health consequences in the elderly, identifying people at risk of fall is a major challenge faced by clinicians. A lot of studies have confirmed the relationships between gait parameters and falls incidence. However, a...
A controller for walking derived from how humans recover from perturbations.
Journal of the Royal Society, Interface
Aug 14, 2019
Humans can walk without falling despite some external perturbations, but the control mechanisms by which this stability is achieved have not been fully characterized. While numerous walking simulations and robots have been constructed, no full-state ...
Ankle torque steadiness and gait speed after a single session of robot therapy in individuals with chronic hemiparesis: a pilot study.
Topics in stroke rehabilitation
Aug 1, 2019
Anklebot therapy has proven to be effective in improving hemiparetic gait. However, neither ankle torque steadiness nor the relationship between changes in force control and functional tasks after therapy with Anklebot were described. To assess whet...
Dynamic neural network approach to targeted balance assessment of individuals with and without neurological disease during non-steady-state locomotion.
Journal of neuroengineering and rehabilitation
Jul 12, 2019
BACKGROUND: Clinical balance assessments often rely on functional tasks as a proxy for balance (e.g., Timed Up and Go). In contrast, analyses of balance in research settings incorporate quantitative biomechanical measurements (e.g., whole-body angula...
Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway.
Journal of neurology
Jul 8, 2019
We perform classification, ranking and mapping of body sway parameters from static posturography data of patients using recent machine-learning and data-mining techniques. Body sway is measured in 293 individuals with the clinical diagnoses of acute ...
Single Inertial Sensor-Based Neural Networks to Estimate COM-COP Inclination Angle During Walking.
Sensors (Basel, Switzerland)
Jul 5, 2019
A biomechanical understanding of gait stability is needed to reduce falling risk. As a typical parameter, the COM-COP (center of mass-center of pressure) inclination angle (IA) could provide valuable insight into postural control and balance recovery...
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