AIMC Topic: Activities of Daily Living
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An assistive robot that enables people with amyotrophia to perform sequences of everyday activities.
Scientific reports
Mar 11, 2025
Mobile manipulation aids aim at enabling people with motor impairments to physically interact with their environment. To facilitate the operation of such systems, a variety of components, such as suitable user interfaces and intuitive control of the ...
Cognitive performance classification of older patients using machine learning and electronic medical records.
Scientific reports
Feb 24, 2025
Dementia rates are projected to increase significantly by 2050, posing considerable challenges for healthcare systems worldwide. Developing efficient diagnostic tools is critical, and machine learning (ML) algorithms have shown potential for improvin...
Optimal design of a wheelchair-mounted robotic arm for activities of daily living.
Disability and rehabilitation. Assistive technology
Feb 18, 2025
PURPOSE: The increasing prevalence of upper limb dysfunctions due to stroke, spinal cord injuries, and multiple sclerosis presents a critical challenge in assistive technology: designing robotic arms that are both energy‑efficient and capable of effe...
Comparison of logistic regression and machine learning methods for predicting depression risks among disabled elderly individuals: results from the China Health and Retirement Longitudinal Study.
BMC psychiatry
Feb 14, 2025
BACKGROUND: Given the accelerated aging population in China, the number of disabled elderly individuals is increasing, and depression is a common mental disorder among older adults. This study aims to establish an effective model for predicting depre...
The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses.
Frontiers in public health
Feb 6, 2025
INTRODUCTION: Speech impediments (SIs) are increasingly prevalent among middle-aged and older adults, raising concerns within public health. Early detection of potential SI in this demographic is critical. This study investigates the potential of Act...
Smart home-assisted anomaly detection system for older adults: a deep learning approach with a comprehensive set of daily activities.
Medical & biological engineering & computing
Jan 31, 2025
Smart homes have the potential to enable remote monitoring of the health and well-being of older adults, leading to improved health outcomes and increased independence. However, current approaches only consider a limited set of daily activities and d...
Task-oriented robotic rehabilitation for back mobility and functioning in a post-intensive care unit obese patient: A case report.
Journal of back and musculoskeletal rehabilitation
Jan 17, 2025
BackgroundIntensive care unit (ICU) acquired weakness is a detrimental condition characterized by muscle weakness, difficulty in weaning from mechanical ventilation, impaired mobility, and functional limitations, severely affecting overall quality of...
A hierarchy category of socially assistive robots' functions: Insights from older adults.
Assistive technology : the official journal of RESNA
Jan 6, 2025
Socially assistive robots (SARs) are increasingly recognized for their potential in helping older adults age in place. Effectively meeting the diverse needs of older adults requires a proper classification of SARs' functions. However, existing functi...
Effectiveness of robot-assisted task-oriented training intervention for upper limb and daily living skills in stroke patients: A meta-analysis.
PloS one
Jan 3, 2025
PURPOSE: Stroke is one of the leading causes of acquired disability in adults in high-income countries. This study aims to determine the intervention effects of robot-assisted task-oriented training on enhancing the upper limb function and daily livi...
Logical reasoning for human activity recognition based on multisource data from wearable device.
Scientific reports
Jan 2, 2025
Smart wearable devices detection and recording of people's everyday activities is critical for health monitoring, helping persons with disabilities, and providing care for the elderly. Most of the research that is being conducted uses a machine learn...
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