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

Introduction.- A Deep Learning Approach for TUG and SPPB Score Prediction of (Pre-) Frail Older Adults on Real-Life IMU Data.- Detecting Impending Malnutrition of (Pre-) Frail Older Adults in Domestic Smart Home Environments.- Using Sensor Graphs for Monitoring the Effect on the Performance of the OTAGO Exercise Program in Older Adults.- Unsupervised Statistical Concept Drift Detection for Behaviour Abnormality Detection.- A System for Monitoring the Functional Status of Older Adults in Daily Life.- General Discussion.

Details
Erscheinungsjahr: 2024
Fachbereich: Technik allgemein
Genre: Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xix
131 S.
4 s/w Illustr.
30 farbige Illustr.
131 p. 34 illus.
30 illus. in color. Textbook for German language market.
ISBN-13: 9783658446871
ISBN-10: 3658446870
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Friedrich, Björn
Hersteller: Springer Fachmedien Wiesbaden
Springer Fachmedien Wiesbaden GmbH
Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, D-65189 Wiesbaden, juergen.hartmann@springer.com
Maße: 210 x 148 x 9 mm
Von/Mit: Björn Friedrich
Erscheinungsdatum: 11.08.2024
Gewicht: 0,207 kg
Artikel-ID: 128853215

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