Objective assessment of overexcited hand movements using a lightweight sensory device

S. Lee, Hassan Ghasemzadeh, B. Mortazavi, Andrew Yew, Ruth Getachew, M. Razaghy, Nima Ghalehsari, Brian H. Paak, Jordan H. Garst, Marie Espinal, Jon Kimball, Daniel C. Lu, M. Sarrafzadeh
{"title":"Objective assessment of overexcited hand movements using a lightweight sensory device","authors":"S. Lee, Hassan Ghasemzadeh, B. Mortazavi, Andrew Yew, Ruth Getachew, M. Razaghy, Nima Ghalehsari, Brian H. Paak, Jordan H. Garst, Marie Espinal, Jon Kimball, Daniel C. Lu, M. Sarrafzadeh","doi":"10.1109/BSN.2013.6575498","DOIUrl":null,"url":null,"abstract":"Hyperexcitability in hand is a disorder characterized by exaggerated muscle movement, and is a common symptom associated with neuro-degenerative diseases and spinal cord injuries. Current assessment methods for hyperexcitability rely on subjective examination, or on methods that evaluate the overall hand grip performance without particularization in the excitation. This paper introduces a system that utilizes an inexpensive body sensor device combined with a series of signal processing units that extract information specifically related to physiological phenomena generated by hyperexcitability. A clinical cohort study has been conducted on nine patients with cervical spinal cord injuries (mean age 58.2 ± 13.5). The experimental results show that the proposed signal processing mechanism accurately detects and analyzes the body signal. The medical significance of the experimental results is also investigated. This opens up a new opportunity for patients and clinical professionals to obtain accurate feedback of patient's motor function in an economical and ubiquitous manner.","PeriodicalId":138242,"journal":{"name":"2013 IEEE International Conference on Body Sensor Networks","volume":" 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Body Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BSN.2013.6575498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Hyperexcitability in hand is a disorder characterized by exaggerated muscle movement, and is a common symptom associated with neuro-degenerative diseases and spinal cord injuries. Current assessment methods for hyperexcitability rely on subjective examination, or on methods that evaluate the overall hand grip performance without particularization in the excitation. This paper introduces a system that utilizes an inexpensive body sensor device combined with a series of signal processing units that extract information specifically related to physiological phenomena generated by hyperexcitability. A clinical cohort study has been conducted on nine patients with cervical spinal cord injuries (mean age 58.2 ± 13.5). The experimental results show that the proposed signal processing mechanism accurately detects and analyzes the body signal. The medical significance of the experimental results is also investigated. This opens up a new opportunity for patients and clinical professionals to obtain accurate feedback of patient's motor function in an economical and ubiquitous manner.
使用轻型感觉装置对过度兴奋的手部运动进行客观评估
手部过度兴奋性是一种以过度肌肉运动为特征的疾病,是神经退行性疾病和脊髓损伤的常见症状。目前对过度兴奋性的评估方法依赖于主观检查,或者依赖于评估整体握力表现的方法,而不考虑刺激的特殊性。本文介绍了一种系统,该系统利用廉价的身体传感器装置与一系列信号处理单元相结合,提取与高兴奋性产生的生理现象相关的信息。对9例颈脊髓损伤患者(平均年龄58.2±13.5岁)进行了临床队列研究。实验结果表明,所提出的信号处理机制能够准确地检测和分析人体信号。并对实验结果的医学意义进行了探讨。这为患者和临床专业人员提供了一个新的机会,以经济和普遍的方式获得患者运动功能的准确反馈。
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