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A system for monitoring the functional status of older adults in daily life
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, our system continuously keeps track of the functional status of older adults through monitoring their daily life and allows health c...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390547/ https://www.ncbi.nlm.nih.gov/pubmed/37524888 http://dx.doi.org/10.1038/s41598-023-39483-x |
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author | Friedrich, Björn Elgert, Lena Eckhoff, Daniel Bauer, Jürgen Martin Hein, Andreas |
author_facet | Friedrich, Björn Elgert, Lena Eckhoff, Daniel Bauer, Jürgen Martin Hein, Andreas |
author_sort | Friedrich, Björn |
collection | PubMed |
description | 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, our system 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 five ICF items from three ICF categories and measures their change over time. We collected data from 20 (pre-)frail older adults (aged [Formula: see text] 75 years) during a 10-month observational randomised pilot intervention study. The system successfully passed the first pre-clinical validation step on the real-world data of the OTAGO study. Furthermore, an initial test with a medical professional showed that the system is intuitive and can be used to design personalised rehabilitation measures. Since this research is in an early stage further clinical studies are needed to fully validate the system. |
format | Online Article Text |
id | pubmed-10390547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103905472023-08-02 A system for monitoring the functional status of older adults in daily life Friedrich, Björn Elgert, Lena Eckhoff, Daniel Bauer, Jürgen Martin Hein, Andreas Sci Rep Article 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, our system 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 five ICF items from three ICF categories and measures their change over time. We collected data from 20 (pre-)frail older adults (aged [Formula: see text] 75 years) during a 10-month observational randomised pilot intervention study. The system successfully passed the first pre-clinical validation step on the real-world data of the OTAGO study. Furthermore, an initial test with a medical professional showed that the system is intuitive and can be used to design personalised rehabilitation measures. Since this research is in an early stage further clinical studies are needed to fully validate the system. Nature Publishing Group UK 2023-07-31 /pmc/articles/PMC10390547/ /pubmed/37524888 http://dx.doi.org/10.1038/s41598-023-39483-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Friedrich, Björn Elgert, Lena Eckhoff, Daniel Bauer, Jürgen Martin Hein, Andreas A system for monitoring the functional status of older adults in daily life |
title | A system for monitoring the functional status of older adults in daily life |
title_full | A system for monitoring the functional status of older adults in daily life |
title_fullStr | A system for monitoring the functional status of older adults in daily life |
title_full_unstemmed | A system for monitoring the functional status of older adults in daily life |
title_short | A system for monitoring the functional status of older adults in daily life |
title_sort | system for monitoring the functional status of older adults in daily life |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390547/ https://www.ncbi.nlm.nih.gov/pubmed/37524888 http://dx.doi.org/10.1038/s41598-023-39483-x |
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