Development of a Method for Evaluating Elderly Mobility Functions Using Acceleration Sensors in Smartphones

Development of a Method for Evaluating Elderly Mobility Functions Using Acceleration Sensors in Smartphones
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开发一种使用智能手机中的加速度传感器评估老年人行动功能的方法

DOI:
10.1002/tee.23782
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发表时间:
2023
影响因子:
1
通讯作者:
Sato Fuminobu
Sato Fuminobu
中科院分区:
工程技术4区
文献类型:
--
作者:
Sawada Haruka;Fushiki Ryoma;Nakajima Haruna;Yueru Zhou;Akiyama Yoko;Fujita Kazuki;Sato Fuminobu

文献摘要

相似文献

运动综合症(LS)是一种由于衰老或缺乏运动引起的肌肉骨骼疾病而导致人的活动能力受损的疾病,表明迫切需要初级护理。本研究旨在开发一款智能手机应用程序,能够以安全、简单且可量化的方式区分 LS 阶段。使用智能手机内置的六轴加速度计,从以 2.66 秒的间隔进行交替单腿站立的老年受试者中收集加速度和角速度数据。然后使用快速傅里叶变换 (FFT) 和自相关系数进行频率分析,以比较有和没有 LS 的受试者的数据特征。由于巨大的个体差异,LS 和非 LS 之间没有观察到显着差异,并且在本研究中使用频率分析来区分 LS 阶段被认为是困难的。相反,自相关系数显示 LS 和非 LS 在特定方向上的加速度和角速度存在显着差异。使用加速度和角速度数据的自相关系数来检测 LS 的存在被认为是有效的。 © 2023 日本电气工程师协会。由 Wiley 期刊有限责任公司出版。
Locomotive syndrome (LS) is a condition in which a person's mobility is impaired due to musculoskeletal disorders caused by aging or lack of exercise, signaling an imminent need for primary nursing care. This study aims to develop a smartphone application that can distinguish the LS stage in a safe, simple, and quantifiable manner. Using a six‐axes accelerometer built into the smartphone, acceleration and angular velocity data were collected from elderly subjects performing alternating one‐legged stances at intervals of 2.66 s. Frequency analysis was then performed with a fast Fourier transform (FFT) and an autocorrelation coefficient to compare the data characteristics of subjects with and without LS. Due to huge individual variances, significant differences were not observed between LS and non‐LS, and discriminating the LS stage using frequency analysis was considered difficult in the present study. In contrast, the autocorrelation coefficient showed significant differences between LS and non‐LS in acceleration and angular velocity in specific directions. Using the autocorrelation coefficient of acceleration and angular velocity data to detect the presence of LS was concluded to be effective. © 2023 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.