Empowering Independent Living using the ICF: An Unobtrusive Home Monitoring Sensor System for Older Adults...

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Björn Friedrich

Empowering Independent Living using the ICF

An Unobtrusive Home Monitoring Sensor System for Older Adults

Björn Friedrich

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English

Springer Vieweg
29 June 2024

Care of the elderly; Geriatric medicine; Machine learning

Functional decline in older adults can lead to an increased need of assistance or even moving to a nursing home. Utilising home automation, power and wearable sensors, the system developed by the author continuously keeps track of the functional status of older adults through monitoring their daily life and allows health care professionals to create individualised rehabilitation programmes based on the changes in the older adult’s functional capacity and performance in daily life. The system uses the taxonomy of the International Classification of Functioning, Disability and Health (ICF) by the World Health Organization (WHO). It links sensor data to fve ICF items from three ICF categories and measures their change over time. The system successfully passed the first pre-clinical validation step on the real-world data of the OTAGO study, a 10-month randomised pilot intervention study with 20 (pre-)frail older adults (aged ≥ 75 years). Since this research is in an early stage further clinical studies are needed to fully validate the system.

By: Björn Friedrich
Imprint: Springer Vieweg
Country of Publication: Germany
Edition: 2024 ed.
Dimensions: Height: 210mm, Width: 148mm,
ISBN: 9783658446871
ISBN 10: 3658446870
Pages: 131
Publication Date: 29 June 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Björn Friedrich's research is focused on decision support using machine learning in medicine to empower older adults aging in place.