Biological Signals for the Control of Robotic Devices in Rehabilitation: An Innovative Review

Deyby Huamanchahua, Luis Alberto Huaman-Levano, Jose Asencios-Chavez, Nicole Caballero-Canchanya
{"title":"Biological Signals for the Control of Robotic Devices in Rehabilitation: An Innovative Review","authors":"Deyby Huamanchahua, Luis Alberto Huaman-Levano, Jose Asencios-Chavez, Nicole Caballero-Canchanya","doi":"10.1109/iemtronics55184.2022.9795719","DOIUrl":null,"url":null,"abstract":"Biological signals have been extensively studied for disease diagnosis, treatment, and biomedical research to know the patient's health status; however, the potential of these signals goes beyond diagnosis, to the point that they can be used for more precise control of robotic devices in rehabilitation. The purpose of this article is to document a systematic review of the applications of biological signals such as EMG, EEG, and EOG for the development of these devices. The objective is to provide the researcher with a matrix that integrates the types of signals, sensors, and related components for the implementation of robotic devices in rehabilitation. As a method, different databases and specialized search engines were used to collect the information from 2019 to 2021. All the investigations found were selected, 27 being selected. Finally, it is concluded that there are different applications of biological signals for manipulation. of prostheses, orthoses, and robotic devices, which allows continuing the development of these that allow a better rehabilitation to the patient.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iemtronics55184.2022.9795719","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Biological signals have been extensively studied for disease diagnosis, treatment, and biomedical research to know the patient's health status; however, the potential of these signals goes beyond diagnosis, to the point that they can be used for more precise control of robotic devices in rehabilitation. The purpose of this article is to document a systematic review of the applications of biological signals such as EMG, EEG, and EOG for the development of these devices. The objective is to provide the researcher with a matrix that integrates the types of signals, sensors, and related components for the implementation of robotic devices in rehabilitation. As a method, different databases and specialized search engines were used to collect the information from 2019 to 2021. All the investigations found were selected, 27 being selected. Finally, it is concluded that there are different applications of biological signals for manipulation. of prostheses, orthoses, and robotic devices, which allows continuing the development of these that allow a better rehabilitation to the patient.
生物信号用于康复机器人装置的控制:一个创新的综述
生物信号被广泛用于疾病的诊断、治疗和生物医学研究,以了解患者的健康状况;然而,这些信号的潜力超越了诊断,它们可以用于更精确地控制康复中的机器人设备。本文的目的是对生物信号(如肌电图、脑电图和眼电图)在这些设备开发中的应用进行系统回顾。目的是为研究人员提供一个矩阵,该矩阵集成了信号、传感器和相关组件的类型,以便在康复中实现机器人设备。作为一种方法,使用不同的数据库和专门的搜索引擎收集2019年至2021年的信息。所有发现的调查都被选中,27个被选中。最后,总结了生物信号在操纵中的不同应用。假肢,矫形器和机器人设备,这使得这些设备的不断发展能够让病人更好地康复。
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