AIMC Topic: Postural Balance

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HRDepthNet: Depth Image-Based Marker-Less Tracking of Body Joints.

Sensors (Basel, Switzerland) Feb 14, 2021
With approaches for the detection of joint positions in color images such as HRNet and OpenPose being available, consideration of corresponding approaches for depth images is limited even though depth images have several advantages over color images ...
Humans Color Joints Time and Motion Studies Machine Learning Aged Postural Balance
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Using machine learning to investigate the relationship between domains of functioning and functional mobility in older adults.

PloS one Feb 11, 2021
Previous studies have shown that functional mobility, along with other physical functions, decreases with advanced age. However, it is still unclear which domains of functioning (body structures, body functions, and activities) are most closely relat...
Respiration Knee Body Composition Walking Torque Female Humans Aged Machine Learning Aged, 80 and over Male Muscle Strength Postural Balance
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Comparison of postural control in older adults under different dual-task conditions: A cross-sectional study.

Journal of bodywork and movement therapies Dec 19, 2020
BACKGROUND: and purpose: Performing a cognitive task while maintaining postural stability, known as "dual-task" condition, can increase the cognitive demand and reduce the postural control capacity. The inability to allocate attention to postural con...
Postural Balance Humans Aged Cross-Sectional Studies
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Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training.

Sensors (Basel, Switzerland) Dec 4, 2020
Using standard digital cameras in combination with deep learning (DL) for pose estimation is promising for the in-home and independent use of exercise games (exergames). We need to investigate to what extent such DL-based systems can provide satisfyi...
Humans Exercise Games, Recreational Deep Learning Postural Balance Motion
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Using machine learning-based analytics of daily activities to identify modifiable risk factors for falling in Parkinson's disease.

Parkinsonism & related disorders Nov 19, 2020
BACKGROUND: Although risk factors that lead to falling in Parkinson's disease (PD) have been previously studied, the established predictors are mostly non-modifiable. A novel method for fall risk assessment may provide more insight into preventable h...
Supervised Machine Learning Activities of Daily Living Antiparkinson Agents Age Factors Parkinson Disease Postural Balance Male Middle Aged Risk Assessment Severity of Illness Index Accidental Falls Models, Theoretical Female Risk Factors Humans Aged Prognosis
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Effects of Robotic Exoskeleton-Aided Gait Training in the Strength, Body Balance, and Walking Speed in Individuals With Multiple Sclerosis: A Single-Group Preliminary Study.

Archives of physical medicine and rehabilitation Nov 9, 2020
OBJECTIVE: To assess effects of 15 exoskeleton-assisted gait training sessions, reflected by the muscle strength of the lower limbs and by walking speed immediately after the training sessions and at the 6-week follow-up.
Postural Balance Disability Evaluation Multiple Sclerosis Longitudinal Studies Muscle Strength Robotics Gait Disorders, Neurologic Fatigue Walking Speed Exoskeleton Device Humans Prospective Studies Female Adult Male Middle Aged
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Automated identification of postural control for children with autism spectrum disorder using a machine learning approach.

Journal of biomechanics Oct 24, 2020
It is unclear whether postural sway characteristics could be used as diagnostic biomarkers for autism spectrum disorder (ASD). The purpose of this study was to develop and validate an automated identification of postural control patterns in children ...
Machine Learning Autism Spectrum Disorder Child, Preschool Child Postural Balance Bayes Theorem Automation Humans
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Classification of Parkinson's disease and essential tremor based on balance and gait characteristics from wearable motion sensors via machine learning techniques: a data-driven approach.

Journal of neuroengineering and rehabilitation Sep 11, 2020
BACKGROUND: Parkinson's disease (PD) and essential tremor (ET) are movement disorders that can have similar clinical characteristics including tremor and gait difficulty. These disorders can be misdiagnosed leading to delay in appropriate treatment. ...
Male Wearable Electronic Devices Logistic Models Humans Gait Disorders, Neurologic Machine Learning Parkinson Disease Essential Tremor Postural Balance Retrospective Studies Gait
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Robotic Light Touch Assists Human Balance Control During Maximum Forward Reaching.

Human factors Sep 10, 2020
OBJECTIVE: We investigated how light interpersonal touch (IPT) provided by a robotic system supports human individuals performing a challenging balance task compared to IPT provided by a human partner.
Robotic Surgical Procedures Humans Feedback, Sensory Adult Robotics Postural Balance
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Quantifying trunk neuromuscular control using seated balancing and stability threshold.

Journal of biomechanics Sep 9, 2020
Performance during seated balancing is often used to assess trunk neuromuscular control, including evaluating impairments in back pain populations. Balancing in less challenging environments allows for flexibility in control, which may not depend on ...
Reproducibility of Results Humans Postural Balance Posture Body Weight Robotics Female Torso
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