Aung Aung Phyo Wai, Foo Siang Fook Victor, Huang Weimin, Biswas Jit, Phua Jiliang Eugene, Liou Koujuch, Hsia Chi-Chun
Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, Singapore 138632.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2159-62. doi: 10.1109/IEMBS.2010.5626375.
Due to the decline in physical and cognitive abilities, many frail elderly may have to lie in the bed most of their time. It is not feasible to monitor them continuously through manual observations alone. This issue can be resolved by embedding a set of multimodal sensors into the bed and providing automated activity recognition intelligence. But it is important to design and develop such multimodal sensing intelligence system desirable to the demands made by the clinicians. This paper presents the comparison and evaluation of different sensing bed configurations to observe different granularities of patient's contexts and activities in and around the bed. Based on the achievements and lessons learned from the experimental analysis, we propose improved sensing bed hardware and software systems to meet the real needs of in and around the bed patient monitoring.
由于身体和认知能力的下降，许多体弱的老年人可能大部分时间都不得不躺在床上。仅通过人工观察持续监测他们是不可行的。通过在床中嵌入一组多模态传感器并提供自动活动识别智能，可以解决这个问题。但设计和开发符合临床医生需求的这种多模态传感智能系统很重要。本文介绍了不同传感床配置的比较和评估，以观察患者在床上及床边不同粒度的情境和活动。基于实验分析取得的成果和经验教训，我们提出改进的传感床硬件和软件系统，以满足对床上及床边患者进行监测的实际需求。
