TY - JOUR
T1 - Review on BCI Virtual Rehabilitation and Remote Technology Based on EEG for Assistive Devices
AU - Lazcano-Herrera, Alicia Guadalupe
AU - Fuentes-Aguilar, Rita Q.
AU - Chairez, Isaac
AU - Alonso-Valerdi, Luz María
AU - Gonzalez-Mendoza, Miguel
AU - Alfaro-Ponce, Mariel
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/12
Y1 - 2022/12
N2 - Virtual reality has been widely used in various industries, such as entertainment, communication, and healthcare, to mention a few. In the health industry, in combination with the brain–computer interfaces (BCIs), virtual reality could produce rehabilitation measures that may contribute novel strategies such as remote rehabilitation or telerehabilitation. The design and development of BCIs integrate different processes, including biosignals acquisition and processing, feature extraction and selection, classification of signals, and application of the technology to patients under rehabilitation treatments. This manuscript presents a literature review of the papers focused on the implementation of BCI and assistive technologies for remote rehabilitation based on virtual reality implementation. The purpose of this comprehensive review is to identify those studies that take advantage of virtual reality in combination with a biomedical technology to improve the performances of diverse rehabilitation processes. Various revisited studies provided a complete system for remote rehabilitation. These findings could lead to applying these models in diverse rehabilitation tasks.
AB - Virtual reality has been widely used in various industries, such as entertainment, communication, and healthcare, to mention a few. In the health industry, in combination with the brain–computer interfaces (BCIs), virtual reality could produce rehabilitation measures that may contribute novel strategies such as remote rehabilitation or telerehabilitation. The design and development of BCIs integrate different processes, including biosignals acquisition and processing, feature extraction and selection, classification of signals, and application of the technology to patients under rehabilitation treatments. This manuscript presents a literature review of the papers focused on the implementation of BCI and assistive technologies for remote rehabilitation based on virtual reality implementation. The purpose of this comprehensive review is to identify those studies that take advantage of virtual reality in combination with a biomedical technology to improve the performances of diverse rehabilitation processes. Various revisited studies provided a complete system for remote rehabilitation. These findings could lead to applying these models in diverse rehabilitation tasks.
KW - brain–computer interfaces
KW - electroencephalography
KW - machine learning
KW - remote rehabilitation
KW - virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85143775425&partnerID=8YFLogxK
U2 - 10.3390/app122312253
DO - 10.3390/app122312253
M3 - Artículo de revisión
AN - SCOPUS:85143775425
SN - 2076-3417
VL - 12
JO - Applied Sciences (Switzerland)
JF - Applied Sciences (Switzerland)
IS - 23
M1 - 12253
ER -