Development of wearable inertial sensors for measurement of hand arm tremors

Ping Yi Chan, Z. M. Ripin
{"title":"Development of wearable inertial sensors for measurement of hand arm tremors","authors":"Ping Yi Chan, Z. M. Ripin","doi":"10.1109/ICSIMA.2013.6717926","DOIUrl":null,"url":null,"abstract":"This paper presents the development wearable inertial sensors in hand arm tremor measurement. Three inertial measurement units, each with a triaxial accelerometer and a triaxial gyroscope were strapped on hand, lower arm and upper arm respectively for tremor data acquisition. The measurement device was selected based on the specifications of the commonly found tremors, namely physiological tremor, parkinsonian tremor and essential tremor. The data acquisition and postprocessing of the tremor data were done in Labview environment. The acquired linear and angular data were used to compute the tremor quantification parameters. The tremor quantification parameters developed in this work were Teager energy and tremor motion in pronation-supination, flexion-extension and abduction-adduction. The proposed tremor quantification parameters and wearable inertial sensors have the potential to be used in diagnosis of tremors. One of the challenges faced in this work was to obtain accurate data postprocessing from all sensors which transfer data in serial. Further research is needed in exploring the potentials of the measurement system to be applied clinically and in modeling.","PeriodicalId":182424,"journal":{"name":"2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIMA.2013.6717926","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

This paper presents the development wearable inertial sensors in hand arm tremor measurement. Three inertial measurement units, each with a triaxial accelerometer and a triaxial gyroscope were strapped on hand, lower arm and upper arm respectively for tremor data acquisition. The measurement device was selected based on the specifications of the commonly found tremors, namely physiological tremor, parkinsonian tremor and essential tremor. The data acquisition and postprocessing of the tremor data were done in Labview environment. The acquired linear and angular data were used to compute the tremor quantification parameters. The tremor quantification parameters developed in this work were Teager energy and tremor motion in pronation-supination, flexion-extension and abduction-adduction. The proposed tremor quantification parameters and wearable inertial sensors have the potential to be used in diagnosis of tremors. One of the challenges faced in this work was to obtain accurate data postprocessing from all sensors which transfer data in serial. Further research is needed in exploring the potentials of the measurement system to be applied clinically and in modeling.
用于测量手臂震动的可穿戴惯性传感器的研制
本文介绍了可穿戴式惯性传感器在手臂抖动测量中的发展。在手上、下臂和上臂分别绑上3个惯性测量单元,各有一个三轴加速度计和一个三轴陀螺仪,用于采集震颤数据。根据常见震颤的规格选择测量装置,即生理性震颤、帕金森震颤和特发性震颤。在Labview环境下对地震数据进行采集和后处理。利用获取的线性和角度数据计算震颤量化参数。本研究开发的震颤量化参数为青少年能量和前旋、屈伸和外展内收的震颤运动。提出的震颤量化参数和可穿戴式惯性传感器在震颤诊断中具有应用潜力。在这项工作中面临的挑战之一是对所有串行传输数据的传感器进行准确的数据后处理。该测量系统在临床和建模方面的应用潜力有待进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信