论文标题
在国内智能家庭环境中发现老年人的营养不良
Detecting impending malnutrition of elderly people in domestic smart home environments
论文作者
论文摘要
适当的营养对于老年人的福祉和独立非常重要。体重显着损失或体重指数的减少是营养不良的指标。对BMI的持续监测使医生和营养学家可以干预即将来临的营养不良。但是，专业人员对BMI的持续监控不适用，并且自我监控并不可靠。在本文中，引入了一种基于环境传感器的BMI趋势的方法。环境传感器用于测量一个人花在家里准备饭菜的时间。当4周的平均时间的趋势发生变化时，BMI在那4周内的趋势也会发生变化。两个值都显示出非常强的相关性。因此，准备餐食的平均时间是医生和营养学家进一步检查患者，意识到即将到来的营养不良的适当指标，并在营养不良的早期阶段进行干预。该方法已在10个月的现场研究中收集的现实世界数据集进行了测试，其中20名参与者大约85岁。
Proper nutrition is very important for the well-being and independence of elderly people. A significant loss of body weight or a decrease of the Body Mass Index respectively is an indicator for malnutrition. A continuous monitoring of the BMI enables doctors and nutritionists to intervene on impending malnutrition. However, continuous monitoring of the BMI by professionals is not applicable and self-monitoring not reliable. In this article a method for monitoring the trend of the BMI based on ambient sensors is introduced. The ambient sensors are used to measure the time a person spends for preparing meals at home. When the trend of the average time for 4 weeks changes, so does the trend of the BMI for those 4 weeks. Both values show a very strong correlation. Thus, the average time for preparing a meal is a suitable indicator for doctors and nutritionists to examine the patient further, become aware of an impending malnutrition, and intervene at an early stage of malnutrition. The method has been tested on a real-world dataset collected during a 10-month field study with 20 participants of an age of about 85 years.
