Open AccessMINI REVIEW: THE APPLICATION OF BRAIN-COMPUTER INTERFACES IN ROBOTIC THERAPY
Author(s) -
Mohammad Mehdi Farzaneh
Publication year - 2021
Publication title -
international journal of engineering science technologies
Language(s) - English
Resource type - Journals
ISSN - 2456-8651
DOI - 10.29121/ijoest.v5.i3.2021.186
Subject(s) - brain–computer interface , functional electrical stimulation , electroencephalography , rehabilitation , computer science , interface (matter) , human–computer interaction , robot , artificial intelligence , neuroscience , psychology , stimulation , bubble , maximum bubble pressure method , parallel computing
The idea of robotic therapy has been considered as a possible rehabilitation strategy to facilitate recovery of the patients with disability and it can represent an efficient treatment. Brain-computer interface (BCI) is known as an advanced technology with great potential in therapeutic and assistive robots. This paper is presented to review the application of BCI in rehabilitation robotic systems through the combination of BCI with electroencephalography (EEG) and functional electrical stimulation (FES). For this purpose, the basic concept of each of BCI, EEG, and FES is introduced to give a general view of their function. In addition, the application of EEG-BCI and FES-BCI systems in therapeutic and assistive treatments is showed by providing a summary of different researches for each field. In the end, this document is terminated with a discussion about the arguments behind the studied topics and the future directions of advances in robotic therapy.