考虑痴呆类型的行为感知早期检测系统

Yuki Abe, Machiko Toya, M. Inoue
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引用次数: 12

摘要

如果在早期阶段发现痴呆症,可以减缓疾病的进展。因此,早期发现痴呆症是很重要的。在这项研究中,我们为独居老人提出了一个系统,该系统可以在疾病的早期阶段检测到痴呆症的怀疑。此外,该系统还通过老年人的初始症状来确定痴呆症的类型。我们比较了两种不同的分析方法来确定从获得的数据的初始症状。第一种方法是阈值分析法,第二种方法是数据趋势分析法。我们通过场景来评估分析方法的有效性和即时性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early detection system considering types of dementia by behavior sensing
If dementia is detected at an early stage, the progress of the disease can be slowed. Therefore, early detection of dementia is important. In this study, we propose a system for elderly people living alone which detects suspicion of dementia at an early stage of the disease. In addition, the system determines types of dementia by initial symptom of the elderly people. We compared two different analytical methods for determining initial symptom from obtained data. The first method is an analytical method by threshold and the second method is an analytical method by trend of data. We evaluated validity and immediacy of the analytical methods by scenarios.
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