AIMC Topic: Independent Living

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A neural network approach to sarcopenia prediction based on bioelectrical impedance in community-dwelling older adults.

PloS one
This study aimed to apply a neural network to raw bioelectrical impedance analysis data and to test whether sarcopenia could be predicted with high accuracy. The study population comprised 727 community-dwelling older adults aged 65-85 years who part...

Association between voice-activated technology interventions and well-being in older adults living alone: a protocol for a systematic review and meta-analysis.

BMJ open
INTRODUCTION: A growing number of community-dwelling older adults living alone face a range of physical, psychological and social challenges that negatively impact their well-being. Various technologies have been developed to support healthy ageing, ...

Activities of Daily Living Detection through Energy Consumption Data and Machine Learning to Support Independent Aging.

Journal of medical systems
The aging population presents significant challenges for healthcare and social services, emphasizing the need for innovative solutions that support independent living. This study explores the feasibility of identifying Instrumental Activities of Dail...

Machine learning-based predictive modeling of angina pectoris in an elderly community-dwelling population: Results from the PoCOsteo study.

PloS one
BACKGROUND: Angina pectoris, a comparatively common complaint among older adults, is a critical warning sign of underlying coronary heart disease. We aimed to develop machine learning-based models using multiple algorithms to predict and identify the...

Characterising physical activity patterns in community-dwelling older adults using digital phenotyping: a 2-week observational study protocol.

BMJ open
INTRODUCTION: Physical activity (PA) is crucial for older adults' well-being and mitigating health risks. Encouraging active lifestyles requires a deeper understanding of the factors influencing PA, which conventional approaches often overlook by ass...

Machine Learning Models for Frailty Classification of Older Adults in Northern Thailand: Model Development and Validation Study.

JMIR aging
BACKGROUND: Frailty is defined as a clinical state of increased vulnerability due to the age-associated decline of an individual's physical function resulting in increased morbidity and mortality when exposed to acute stressors. Early identification ...

Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study.

JMIR medical informatics
BACKGROUND: The two most commonly used methods to identify frailty are the frailty phenotype and the frailty index. However, both methods have limitations in clinical application. In addition, methods for measuring frailty have not yet been standardi...

A hierarchy category of socially assistive robots' functions: Insights from older adults.

Assistive technology : the official journal of RESNA
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...

Evaluating Human-Robot Interactions to Support Healthy Aging-in-Place.

Journal of applied gerontology : the official journal of the Southern Gerontological Society
Declines in older adults' cognitive and physical health pose challenges to maintaining their independence. Robots can improve independent living and facilitate aging-in-place. Despite recent innovations in healthcare robotics, the use of robots has n...