在家庭灵巧家庭环境中检测老年人即将发生的营养不良
Detecting impending malnutrition of elderly people in domestic smart home environments
摘要：
适当的营养对老年人的健康和独立非常重要。体重显著减轻或体重指数下降分别是营养不良的指标。对BMI的持续监测使医生和营养学家能够对即将发生的营养不良进行干预。然而，由专业人员持续监测BMI并不适用，自我监测也不可靠。本文介绍了一种基于环境传感器的BMI趋势监测方法。环境传感器用于测量一个人在家准备饭菜所花费的时间。当4周的平均时间趋势发生变化时，这4周的BMI趋势也会发生变化。这两个值显示出非常强的相关性。因此，准备一顿饭的平均时间是医生和营养学家进一步检查病人、了解即将发生的营养不良并在营养不良的早期阶段进行干预的适当指标。该方法已在一个真实世界的数据集上进行了测试，该数据集是在一个为期10个月的实地研究中收集的，有20名年龄约85岁的参与者。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
