Staircase design for health monitoring in elderly people
Staircase design for health monitoring in elderly people
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DOI：
10.1016/j.jobe.2021.102152
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发表时间：
2021-01-11
影响因子：
6.4
通讯作者：
Takahashi, Masaki
中科院分区：
文献类型：
--
作者：
Ogawa, Ami;Iijima, Hirotaka;Takahashi, Masaki
随着全球人口老龄化，通过家庭健康监测系统对与年龄相关的健康恶化进行早期检测和干预的需求正在增长。健康恶化通常使用问卷进行评估，但很难获得频繁的答复。虽然涉及高体力负荷的楼梯行走适合于评估健康恶化，但使用基于家庭的系统进行统一评估是困难的，因为不同的楼梯设计导致不同的运动。目前对不同楼梯设计之间的评估性能差异的研究不足。本研究旨在通过观察楼梯行走情况，建立一个客观的评估日常生活活动能力（ADL）障碍的指标，并探讨楼梯尺寸对ADL障碍与健康恶化之间关系的影响。我们假设，膝关节的位置在楼梯上升将与健康恶化，并制定了“步入水平”指数，反映膝关节的位置时，步入，获得使用无标记的深度信息为基础的系统。70名老年人登上两种类型的楼梯（陡：33.7度;浅：28.2度），并完成了关于ADL困难的问卷调查。我们使用一个广义线性混合模型来研究“步入水平”对ADL困难的解释能力。结果表明，“步入水平”可以解释ADL困难，陡楼梯比浅楼梯更适合评估。我们的系统可以每天评估ADL的难度，并检测日常生活中的细微变化。目前的研究结果可以为健康监测的设计指南提供信息。
The need for early detection and intervention for age-related health deterioration via home-based health monitoring systems is growing with global population aging. Health deterioration is typically evaluated using questionnaires, but obtaining frequent responses is difficult. Although stair walking involving a high physical load is suitable for assessing health deterioration, uniform assessment using home-based systems is difficult because different stair designs result in different movements. There is currently insufficient research on differences in evaluation performance between different stair designs. The current study aimed to develop an objective index to assess difficulties in activities of daily living (ADLs) as an indicator of health deterioration by observing stair walking, and to investigate the effects of stair dimensions on the relationship between the index and health deterioration. We hypothesized that knee joint positions during stair ascent would be associated with health deterioration, and developed the "Stepping in Level" index, reflecting the knee joint position when stepping in, obtained using a markerless depth information-based system. Seventy elderly people ascended two types of stairs (steep: 33.7 degrees; shallow: 28.2 degrees) and completed a questionnaire regarding ADL difficulty. We used a generalized linear mixed model to investigate the ability of "Stepping in Level" to explain ADL difficulty. The results revealed that "Stepping in Level" was able to explain ADL difficulty, and steep stairs were more suitable than shallow stairs for assessment. Our system enables daily assessment of difficulty in ADLs and detection of subtle changes in daily life. The current findings could inform design guidelines for health monitoring.