AIMC Topic: Activities of Daily Living
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Assessing the impact of AI tools on mobility and daily assistance for children with down syndrome in Saudi Arabia.
Scientific reports
Aug 22, 2025
This mixed-methods study investigated the impact of AI-powered assistive technology on mobility, communication, and daily living assistance in children with Down syndrome in Saudi Arabia. We looked at information from 123 carers (47 who used AI and 7...
Effectiveness and Cost-Effectiveness of Using a Social Robot in Residential Care for Individuals With Challenges in Daily Structure and Planning: Protocol for a Multiple-Baseline Single Case Trial and Health Economic Evaluation.
JMIR research protocols
Aug 8, 2025
BACKGROUND: A substantial number of individuals in disability care experience challenges with daily structure and planning and require 24-7 support. The use of a social robot might decrease their need for support from care professionals, leading to i...
Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals.
Scientific reports
Jul 30, 2025
Old and vision-impaired indoor action monitoring utilizes sensor technology to observe movement and interaction in the living area. This model can recognize changes from regular patterns, deliver alerts, and ensure safety in case of any dangers or la...
Perceived social support in the daily life of people with Parkinson's disease: a distinct role and potential classifier.
Scientific reports
Jul 24, 2025
Motor outcomes in Parkinson's disease (PD) have long been the primary diagnostic criteria and treatment targets. While non-motor outcomes of PD impact daily well-being, they are rarely targeted by interventions or utilized for classification. Despite...
Effects of device-assisted practice of activities of daily living in a close-to-normal pattern on upper extremity motor recovery in individuals with moderate to severe stroke: study protocol of a randomized control trial.
Trials
Jul 4, 2025
BACKGROUND: The majority of individuals with chronic stroke have residual upper extremity (UE) disability which they cite as their greatest barrier to recovery. Using orthoses, robotic devices, and functional electrical stimulation (FES) represent re...
Stroke Rehabilitation
Clinical Protocols
Humans
Research Design
Severity of Illness Index
Stroke
Activities of Daily Living
Orthotic Devices
Paresis
Motor Activity
Upper Extremity
Electric Stimulation Therapy
Robotics
Time Factors
Treatment Outcome
Disability Evaluation
Recovery of Function
Double-Blind Method
Equipment Design
Relative importance of key life domains in explaining life satisfaction among older adults.
Journal of psychosomatic research
Jun 24, 2025
OBJECTIVE: Life satisfaction is a key element contributing to successful aging. Limited empirical studies have specifically explored the nature of the relationship between domain-specific satisfaction and global life satisfaction among older adults. ...
Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients.
Journal of visualized experiments : JoVE
Apr 18, 2025
This study introduces a Brain-Computer Interface (BCI)-controlled upper limb assistive robot for post-stroke rehabilitation. The system utilizes electroencephalogram (EEG) and electrooculogram (EOG) signals to help users assist upper limb function in...
A Quantitative Study of Factors Influencing Myasthenia Gravis Telehealth Examination Score.
Muscle & nerve
Apr 2, 2025
INTRODUCTION/AIMS: The adoption of telemedicine is generally considered as advantageous for patients and physicians, but there is limited rigorous assessment of examination strengths and limitations. We set out to perform a quantitative assessment of...
Risk prediction models for frailty in older adults: A systematic review and critical appraisal.
International journal of nursing studies
Mar 21, 2025
BACKGROUND: Frailty can lead to increased adverse health outcomes in older adults. Risk prediction models for frailty have benefits in guiding the prevention. Studies have increasingly focused on the development of risk prediction models for frailty ...
Real-Time Acoustic Scene Recognition for Elderly Daily Routines Using Edge-Based Deep Learning.
Sensors (Basel, Switzerland)
Mar 12, 2025
The demand for intelligent monitoring systems tailored to elderly living environments is rapidly increasing worldwide with population aging. Traditional acoustic scene monitoring systems that rely on cloud computing are limited by data transmission d...
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