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Titlebook: Empowering Independent Living using the ICF; An Unobtrusive Home Bj?rn Friedrich Book 2024 The Editor(s) (if applicable) and The Author(s)

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發(fā)表于 2025-3-21 17:49:28 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Empowering Independent Living using the ICF
副標題An Unobtrusive Home
編輯Bj?rn Friedrich
視頻videohttp://file.papertrans.cn/321/320584/320584.mp4
圖書封面Titlebook: Empowering Independent Living using the ICF; An Unobtrusive Home  Bj?rn Friedrich Book 2024 The Editor(s) (if applicable) and The Author(s)
描述.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..
出版日期Book 2024
關鍵詞Geriatrics; Smart Home; Machine Learning; Older Adults; Ubiquituous Computing; Decision Support
版次1
doihttps://doi.org/10.1007/978-3-658-44688-8
isbn_softcover978-3-658-44687-1
isbn_ebook978-3-658-44688-8
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 20:39:13 | 只看該作者
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 func
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發(fā)表于 2025-3-22 01:44:59 | 只看該作者
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發(fā)表于 2025-3-22 05:08:52 | 只看該作者
https://doi.org/10.1007/978-1-4615-3038-1ficial dataset of four concept drift types. Then we applied our new method to our real–world dataset collected from the homes of 20 (pre–)frail older adults (avg. age 84.75y). Our method was able to find abnormal days when a participant suffered from severe medical condition.
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發(fā)表于 2025-3-22 12:35:40 | 只看該作者
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發(fā)表于 2025-3-22 17:16:14 | 只看該作者
https://doi.org/10.1007/978-3-658-44688-8Geriatrics; Smart Home; Machine Learning; Older Adults; Ubiquituous Computing; Decision Support
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發(fā)表于 2025-3-23 00:49:47 | 只看該作者
https://doi.org/10.1007/978-3-031-60159-0ses where the family or nurses cannot provide sufficent support at home, older adults have to relocate to a nursing home or an assisted living scheme. Moving to a nursing home affects the three innate psychological needs—namely competence, autonomy, and relatedness [23, 6, 24].
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