Suppr超能文献

观察睡眠模式以预防褥疮和床边跌倒。

Sleeping patterns observation for bedsores and bed-side falls prevention.

作者信息

Wai Aung Aung Phyo, Yuan-Wei Kow, Fook Foo Siang, Jayachandran Maniyeri, Biswas Jit, Cabibihan John-John

机构信息

Institute for Infocomm Research.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2009;2009:6087-90. doi: 10.1109/IEMBS.2009.5335385.

Abstract

Disabled or cognition impaired elderly may lie in the bed most of their time. It is important to monitor their health conditions and look out for life threatening events in and around the bed continuously. Abrupt unassisted movements may lead to falls whereas the lack of desirable movements may cause bedsores. In order to alleviate these problems, we propose automated means of continuous and unobtrusive sleeping pattern observation through pressure sensing bed. By understanding of subjects' states from observed pressure evidences, timely intervention and nursing care can be provided to subjects immediately. This enables provision of high quality care to frail and dependent elderly, and also enhances their quality of life in a cost-effective and resource-efficient manner.

摘要

残疾或认知受损的老年人可能大部分时间都躺在床上。持续监测他们的健康状况并留意床边及周围的危及生命的事件非常重要。突然的自主运动可能导致跌倒,而缺乏适当运动可能会导致褥疮。为了缓解这些问题,我们提出通过压力感应床对睡眠模式进行持续且不引人注意的自动观察方法。通过从观察到的压力证据了解受试者的状态,可以立即为受试者提供及时的干预和护理。这能够为体弱和需要照料的老年人提供高质量护理,并且以具有成本效益和资源高效的方式提高他们的生活质量。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验