Advanced Prototype of Manus Diagnostics and Rehabilitation Device

Stanislav Husár, M. Bundzel, Maroš Hliboký, Slavomír Kardoš, Norbert Ferenčík
{"title":"Advanced Prototype of Manus Diagnostics and Rehabilitation Device","authors":"Stanislav Husár, M. Bundzel, Maroš Hliboký, Slavomír Kardoš, Norbert Ferenčík","doi":"10.2478/aei-2023-0005","DOIUrl":null,"url":null,"abstract":"Abstract Hand fine motor functions may be impaired by various conditions, from injury to neurodegenerative diseases. Previously, we developed a prototype called Rehapiano that used load cells to measure the force exerted by the individual fingers. Rehapiano could distinguish between Parkinson’s patients and healthy individuals by analysing the finger tremors. Based on the experiences with the prototype and consultations with experts, we developed a more advanced prototype, Rehabimano. We show here how we improved the ergonomics and electronics. In addition, we have performed experimental validation of the device and confirmed its ability to detect and measure frequencies of tremors. These results are a stepping stone for consecutive software development and pre-clinical trials.","PeriodicalId":31657,"journal":{"name":"Acta Electrotechnica et Informatica","volume":"23 1","pages":"32 - 40"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Electrotechnica et Informatica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/aei-2023-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract Hand fine motor functions may be impaired by various conditions, from injury to neurodegenerative diseases. Previously, we developed a prototype called Rehapiano that used load cells to measure the force exerted by the individual fingers. Rehapiano could distinguish between Parkinson’s patients and healthy individuals by analysing the finger tremors. Based on the experiences with the prototype and consultations with experts, we developed a more advanced prototype, Rehabimano. We show here how we improved the ergonomics and electronics. In addition, we have performed experimental validation of the device and confirmed its ability to detect and measure frequencies of tremors. These results are a stepping stone for consecutive software development and pre-clinical trials.
手部诊断和康复设备的先进原型
从损伤到神经退行性疾病,手精细运动功能可能受到各种条件的损害。之前,我们开发了一个名为Rehapiano的原型,它使用称重传感器来测量单个手指施加的力。Rehapiano可以通过分析手指的震颤来区分帕金森患者和健康人。基于使用原型机的经验和咨询专家的意见,我们开发了一种更先进的原型机Rehabimano。我们在这里展示了我们如何改进人体工程学和电子设备。此外,我们对该设备进行了实验验证,并证实了其检测和测量震颤频率的能力。这些结果是后续软件开发和临床前试验的垫脚石。
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
审稿时长
8 weeks
×
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:604180095
Book学术官方微信