AIMC Topic: Accidental Falls

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Correlation enhanced distribution adaptation for prediction of fall risk.

Scientific reports Feb 12, 2024
With technological advancements in diagnostic imaging, smart sensing, and wearables, a multitude of heterogeneous sources or modalities are available to proactively monitor the health of the elderly. Due to the increasing risks of falls among older a...
Computer Simulation Aged Accidental Falls Humans Machine Learning
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A machine learning approach to identify important variables for distinguishing between fallers and non-fallers in older women.

PloS one Oct 31, 2023
Falls are a significant ongoing public health concern for older adults. At present, few studies have concurrently explored the influence of multiple measures when seeking to determine which variables are most predictive of fall risks. As such, this c...
Female Aged Machine Learning Retrospective Studies Cross-Sectional Studies Longitudinal Studies Postural Balance Humans Accidental Falls Gait
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Walking and falling: Using robot simulations to model the role of errors in infant walking.

Developmental science Sep 26, 2023
What is the optimal penalty for errors in infant skill learning? Behavioral analyses indicate that errors are frequent but trivial as infants acquire foundational skills. In learning to walk, for example, falling is commonplace but appears to incur o...
Walking Generalization, Psychological Learning Accidental Falls Humans Infant Robotics
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Human Activity Prediction Based on Forecasted IMU Activity Signals by Sequence-to-Sequence Deep Neural Networks.

Sensors (Basel, Switzerland) Jul 18, 2023
Human Activity Recognition (HAR) has gained significant attention due to its broad range of applications, such as healthcare, industrial work safety, activity assistance, and driver monitoring. Most prior HAR systems are based on recorded sensor data...
Humans Accidental Falls Human Activities Neural Networks, Computer Exercise
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Can the Electronic Health Record Predict Risk of Falls in Hospitalized Patients by Using Artificial Intelligence? A Meta-analysis.

Computers, informatics, nursing : CIN Jul 1, 2023
Because of an aging population worldwide, the increasing prevalence of falls and their consequent injuries are becoming a safety, health, and social-care issue among elderly people. We conducted a meta-analysis to investigate the benchmark of predict...
Humans Accidental Falls Patients Aged Artificial Intelligence Sensitivity and Specificity Electronic Health Records
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A 2D-Lidar-Equipped Unmanned Robot-Based Approach for Indoor Human Activity Detection.

Sensors (Basel, Switzerland) Feb 24, 2023
Monitoring the activities of elderly people living alone is of great importance since it allows for the detection of when hazardous events such as falling occur. In this context, the use of 2D light detection and ranging (LIDAR) has been explored, am...
Interior Design and Furnishings Infrared Rays Human Activities Humans Accidental Falls Robotics Aged
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Combining robot-assisted therapy with virtual reality or using it alone? A systematic review on health-related quality of life in neurological patients.

Health and quality of life outcomes Feb 21, 2023
BACKGROUND: In the field of neurorehabilitation, robot-assisted therapy (RAT) and virtual reality (VR) have so far shown promising evidence on multiple motor and functional outcomes. The related effectiveness on patients' health-related quality of li...
Stroke Rehabilitation Stroke Fear Quality of Life Accidental Falls Virtual Reality Robotics Humans
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Transfer Learning on Small Datasets for Improved Fall Detection.

Sensors (Basel, Switzerland) Jan 18, 2023
Falls in the elderly are associated with significant morbidity and mortality. While numerous fall detection devices incorporating AI and machine learning algorithms have been developed, no known smartwatch-based system has been used successfully in r...
Accidental Falls Algorithms Aged Humans Machine Learning
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Enhancing Free-Living Fall Risk Assessment: Contextualizing Mobility Based IMU Data.

Sensors (Basel, Switzerland) Jan 12, 2023
Fall risk assessment needs contemporary approaches based on habitual data. Currently, inertial measurement unit (IMU)-based wearables are used to inform free-living spatio-temporal gait characteristics to inform mobility assessment. Typically, a fluc...
Humans Artificial Intelligence Risk Assessment Reflex, Startle Gait Somatoform Disorders Accidental Falls Stroke
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Cost-Effectiveness and Value of Information Analysis of an Ambient Intelligent Geriatric Management (AmbIGeM) System Compared to Usual Care to Prevent Falls in Older People in Hospitals.

Applied health economics and health policy Dec 9, 2022
BACKGROUND: The Ambient Intelligent Geriatric Management (AmbIGeM) system combines wearable sensors with artificial intelligence to trigger alerts to hospital staff before a fall. A clinical trial found no effect across a heterogenous population, but...
Accidental Falls Cost-Benefit Analysis Aged Humans Australia Hospitals Artificial Intelligence
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