TY - JOUR
T1 - Embedded brain computer interface
T2 - state-of-the-art in research
AU - Belwafi, Kais
AU - Gannouni, Sofien
AU - Aboalsamh, Hatim
N1 - Funding Information:
Acknowledgments: This work was supported by the Deanship of Scientific Research at King Saud University through the Research Group under Grant RG-1441-524.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - There is a wide area of application that uses cerebral activity to restore capabilities for people with severe motor disabilities, and actually the number of such systems keeps growing. Most of the current BCI systems are based on a personal computer. However, there is a tremendous interest in the implementation of BCIs on a portable platform, which has a small size, faster to load, much lower price, lower resources, and lower power consumption than those for full PCs. Depending on the complexity of the signal processing algorithms, it may be more suitable to work with slow processors because there is no need to allow excess capacity of more demanding tasks. So, in this review, we provide an overview of the BCIs development and the current available technology before discussing experimental studies of BCIs.
AB - There is a wide area of application that uses cerebral activity to restore capabilities for people with severe motor disabilities, and actually the number of such systems keeps growing. Most of the current BCI systems are based on a personal computer. However, there is a tremendous interest in the implementation of BCIs on a portable platform, which has a small size, faster to load, much lower price, lower resources, and lower power consumption than those for full PCs. Depending on the complexity of the signal processing algorithms, it may be more suitable to work with slow processors because there is no need to allow excess capacity of more demanding tasks. So, in this review, we provide an overview of the BCIs development and the current available technology before discussing experimental studies of BCIs.
KW - EEG signal processing
KW - Electroencephalogram (EEG)
KW - Embedded brain computer interface
UR - http://www.scopus.com/inward/record.url?scp=85108261105&partnerID=8YFLogxK
U2 - 10.3390/s21134293
DO - 10.3390/s21134293
M3 - Review article
C2 - 34201788
AN - SCOPUS:85108261105
SN - 1424-8220
VL - 21
JO - Sensors (Switzerland)
JF - Sensors (Switzerland)
IS - 13
M1 - 4293
ER -