Showing 21 - 40 results of 56 for search '"elderly care"', query time: 0.06s Refine Results
  1. 21

    Study on Influencing Factors and Countermeasures of Elderly Nursing Services in the Elderly by Shuo Liu, Li Chen, Dandan Li, Qianqian Yang, Fangfang Liu, Yanli Cheng

    Published 2022-01-01
    “…The study found that the vast majority of elderly patients have higher requirements for elderly care services, which is related to factors such as family income. …”
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    Article
  2. 22

    Puzzled by Your Care Receiver's Refusal of Services? by Carolyn S. Wilken

    Published 2006-11-01
    “… FCS-2259, a 2-page fact sheet by Carolyn Wilken, is the third in a series on caregiving and aging. Sometimes an elderly care receiver may refuse help or assistance from family, friends, or agencies. …”
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    Article
  3. 23

    Puzzled by Your Care Receiver's Refusal of Services? by Carolyn S. Wilken

    Published 2006-11-01
    “… FCS-2259, a 2-page fact sheet by Carolyn Wilken, is the third in a series on caregiving and aging. Sometimes an elderly care receiver may refuse help or assistance from family, friends, or agencies. …”
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    Article
  4. 24

    Une Analyse de long terme des dépenses sociales by Sandrine Michel, Delphine Vallade

    Published 2008-10-01
    “…So far, the relationships between each category of social expenditures (i.e. education, health, elderly care) and long-term economic growth have been investigated separately. …”
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    Article
  5. 25

    TV-Based Caring Videophone System for the Elderly in the Smart Home Environment by Jingshuang Shen, Chongyang Zhang, Chuanwen Jiang

    Published 2013-01-01
    “…A novel videophone system for the elderly-care application is proposed. Based on the detailed analysis of the elderly’s physical and psychological characteristics, a TV-based caring videophone system for the elderly is developed: an embedded multimedia device is designed to implement the interactive video and audio processing and IP-based communication, in which TV is adopted as the display terminal to achieve a low-cost but high-quality service. …”
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    Article
  6. 26

    Convergence Research Directions in Cognitive Sensor Networks for Elderly Housing Design by Shinil Suh, Byung-Seo Kim, Jae Hee Chung

    Published 2015-09-01
    “…As part of resolving the issue related to super-aging society, various information systems for the elderly care have been developed utilizing cognitive sensor networks. …”
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    Article
  7. 27

    Research on Behavior Monitoring of Elderly Living Alone Based on Wearable Devices and Sensing Technology by Mulin Yin

    Published 2021-01-01
    “…Human behavior recognition and status monitoring are current research hotspots, especially in the fields of medical monitoring, smart home, and elderly care. With the development of sensor technology, low-power IC chips, and wireless body sensors, miniature sensor networks can be popularized and applied in daily life. …”
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    Article
  8. 28

    Retirement, Home Care and the Importance of Gender by Anders Brändström, Glenn Sandström

    Published 2021-03-01
    “…In recent decades elderly care policies in Sweden have been characterized by a marked shift from institutional care to home care. …”
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    Article
  9. 29

    Analysis of the development of China's long-term care system by Čen Mengsuan

    Published 2024-01-01
    “…Due to its large population base and the one-child policy implemented for over 30 years, the country is aging faster than most others, with a higher number of elderly people and more pressing elderly care challenges. Traditional home care is no longer sustainable, which increases the need for long-term care. …”
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    Article
  10. 30

    A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN by Afuan Lasmedi, Isnanto R. Rizal

    Published 2025-01-01
    “…Fall detection is a major challenge in the development of technology-based healthcare systems, particularly in elderly care. This study aims to compare the performance of six classification algorithms: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, Random Forest, Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN) in detecting fall incidents using wearable sensor data such as accelerometers and gyroscopes. …”
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    Article
  11. 31

    Time travel of older people through virtual reality: a qualitative study by Leyla Muslu, Zeynep Karakuş, Ercan Asï, Rabia Bayindir, Zeynep Özer

    Published 2025-01-01
    “…The study revealed that older people had positive experiences with virtual reality and showed that it has the potential to be useful in elderly care. In the study, virtual reality also enabled older people to have a time-traveling experience. …”
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    Article
  12. 32

    The Effect of Music on the Happiness of Turkman Elderly in Day Care Centers by Zahra Sabzi, Razieh Saffar, Fatemeh Mehravar, Hamideh Mancheri

    Published 2024-12-01
    “…To promote active and joyful aging, it is recommended that elderly care center administrators incorporate authorized and local music into their programs.…”
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    Article
  13. 33

    Exploring health outcome disparities in African regional economics communities: a multilevel linear mixed-effect analysis by Ariane Ephemia Ndzignat Mouteyica, Nicholas Ngepah

    Published 2025-01-01
    “…In addition, governments should invest in elderly care programs and infrastructure development for water supply. …”
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    Article
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    Comparative in vitro study of a new silicone mouth swab for soft tissue cleaning under wet and dry brushing conditions by Nutthawadee Engsomboon, Bhornsawan Thanathornwong, Siriwan Suebnukarn

    Published 2025-02-01
    “…Abstract The use of silicone mouth swabs for soft tissue cleaning in elderly care is significant as it offers a gentle yet effective solution for maintaining oral hygiene, particularly in patients with limited dexterity or cognitive impairments, thereby reducing the risk of oral infections and improving overall health. …”
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    Article
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    Field Tests of Indoor Air Cleaners for Removal of PM2.5 and PM10 in Elementary School Classrooms in Seoul, Korea by Bangwoo Han, Keejung Hong, Dongho Shin, Hak-Joon Kim, Yong-Jin Kim, Sang Bok Kim, Sangwoo Kim, Cheong-Ha Hwang, Kwang-Chul Noh

    Published 2022-03-01
    “…Abstract Control of fine particles in childcare centers, elementary schools, elderly care facilities and other locations where vulnerable people spend most of their time is essential. …”
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    Article
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