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居家社區照護早期警示系統之發展

The Development of Early Warning Systems for Home/Community Elderly Care

摘要


隨著高齡社會的來臨,長者的居家安全成為非常重要的議題。居家/社區的早期警示系統之目的在及時產生、傳播有意義的警告資訊,提供醫療院所或救助單位能迅速提供適當的照護行動。本文主要的目的在介紹目前資通訊科技在居家和社區早期警示系統上之應用,特別是物聯網及人工智慧。本文中將分成即時偵測及預防監控兩個層次來探討,即時偵測包含跌倒偵測和人員追蹤兩方面,而預防監控特別著重在預防跌倒和生理狀態監控兩方面。同時本文也探討現今發展資通訊科技在居家社區的早期監視系統所面臨的挑戰,期望透過本文的介紹說明能對早期監視系統的發展提供幫助。

並列摘要


With Taiwan now an "aged society", home safety for older individuals has become a very important issue. The purpose of establishing early warning systems in homes and/or communities is to generate and disseminate meaningful warning information to medical institutions or rescue units in a timely manner so that they may take timely and appropriate action. The main purpose of this paper is to introduce the current application of information and communication technology (ICT, especially the Internet of Things and artificial intelligence) in early warning systems for home and community care. Two approaches to developing these systems are introduced: instant detection and prevention monitoring. Instant detection facilitates fall detection and personnel tracking, while the focus of prevention monitoring is on preventing falls and physiological status monitoring. The challenges faced by in incorporating ICT into these early monitoring systems are discussed as well.

參考文獻


Baker, S. B., Xiang, W., & Atkinson, I. (2017). Internet of Things for smart healthcare: Technologies, challenges, and opportunities. IEEE Access, 5, 26521–26544. https://doi.org/10.1109/ACCESS.2017.2775180
Huang, Y. M., Hsieh, M. Y., Chao, H. C., Hung, S. H., & Park, J. H. (2009). Pervasive, secure access to a hierarchical sensor-based healthcare monitoring architecture in wireless heterogeneous networks. IEEE Journal on Selected Areas in Communications, 27(4), 400–411. https://doi.org/10.1109/JSAC.2009.090505
Joshi, G. P., Acharya, S., Kim, C. S., Kim, B. S., & Kim, S. W. (2014). Smart solutions in elderly care facilities with RFID system and its integration with wireless sensor networks. International Journal of Distributed Sensor Networks, 10(8). https://doi.org/10.1155/2014/713946
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Liu, S. H., & Cheng, W. C. (2012). Fall detection with the support vector machine during scripted and continuous unscripted activities. Sensors, 12(9), 12301–12316. https://doi.org/10.3390/s120912301

被引用紀錄


楊鎮宇、林淑媛(2023)。住院老人跌倒評估、處置與預防領導護理24(2),23-33。https://doi.org/10.29494/LN.202306_24(2).0003

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