生物信号用于康复机器人装置的控制:一个创新的综述

Deyby Huamanchahua, Luis Alberto Huaman-Levano, Jose Asencios-Chavez, Nicole Caballero-Canchanya
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引用次数: 1

摘要

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