Department of Computer Engineering, Chungnam National University, Daejeon 34134, Korea.
Sensors (Basel). 2022 May 31;22(11):4174. doi: 10.3390/s22114174.
Depression in the elderly is an important social issue considering the population aging of the world. In particular, elderly living alone who has narrowed social relationship due to bereavement and retirement are more prone to be depressed. Long-term depressed mood can be a precursor to eventual depression as a disease. Our goal is how to predict the depressed mood of single household elderly from unobtrusive monitoring of their daily life. We have selected a wearable band with multiple sensors for monitoring elderly people. Depression questionnaire has been surveyed periodically to be used as the labels. Instead of working with depression patients, we recruited 14 single household elderly people from a nearby community. The wearable band provided daily activity and biometric data for 71 days. From the data, we generate a depressed mood prediction model. Multiple features from the collected sensor data are exploited for model generation. One general model is generated to be used as the baseline for the initial model deployment. Personal models are also generated for model refinement. The general model has a high recall of 80% in an MLP model. Individual models achieved an average recall of 82.7%. In this study, we have demonstrated that we can generate depressed mood prediction models with data collected from real daily living. Our work has shown the feasibility of using a wearable band as an unobtrusive depression monitoring sensor even for elderly people.
老年人抑郁是一个重要的社会问题，尤其是那些因丧偶和退休而社交关系缩小的独居老年人更容易抑郁。长期的抑郁情绪可能是最终发展为抑郁症的前兆。我们的目标是如何通过对老年人日常生活的非侵入性监测来预测独居老年人的抑郁情绪。我们选择了一款带有多个传感器的可穿戴手环来监测老年人。定期进行抑郁问卷调查，作为标签。我们没有与抑郁症患者合作，而是从附近社区招募了 14 名独居老年人。可穿戴手环提供了 71 天的日常活动和生物特征数据。我们从数据中生成了一个抑郁情绪预测模型。从收集的传感器数据中利用多种特征来生成模型。生成一个通用模型作为初始模型部署的基线。还为模型细化生成了个人模型。通用模型在 MLP 模型中的召回率高达 80%。个体模型的平均召回率达到 82.7%。在这项研究中，我们证明了我们可以使用可穿戴带收集的真实日常生活数据来生成抑郁情绪预测模型。我们的工作表明，即使是老年人，使用可穿戴带作为非侵入性抑郁监测传感器也是可行的。
