arrow
Return

Personalized Brain-Computer Interface and Its Applications

delete2022-12-26
delete23
delete
OA
AI
Y
Yixin Ma
A
Anmin Gong
W
Wenya Nan
P
Peng Ding
王
王凡 (Fan Wang)
伏云发 cover
伏云发 (Yunfa Fu) *
DOI:10.3390/jpm13010046delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Brain-computer interfaces (BCIs) are a new technology that subverts traditional human-computer interaction, where the control signal source comes directly from the user's brain. When a general BCI is used for practical applications, it is difficult for it to meet the needs of different individuals because of the differences among individual users in physiological and mental states, sensations, perceptions, imageries, cognitive thinking activities, and brain structures and functions. For this reason, it is necessary to customize personalized BCIs for specific users. So far, few studies have elaborated on the key scientific and technical issues involved in personalized BCIs. In this study, we will focus on personalized BCIs, give the definition of personalized BCIs, and detail their design, development, evaluation methods and applications. Finally, the challenges and future directions of personalized BCIs are discussed. It is expected that this study will provide some useful ideas for innovative studies and practical applications of personalized BCIs.
Keywords:
personalized brain-computer interface (pBCI)
specific BCI user
customized brain-computer interface (cBCI)
general brain-computer interface (gBCI)
brain-computer interface (BCI)

Journal

Journal of Personalized Medicine cover
Journal of Personalized Medicine
IF:
3
Papers:
7.5K
Citations:
1.3W

Organization

S
Shanghai Normal University
Scholars:
7.4K
Papers: 5.0K
Citations: 8.0K
E
Engineering University of Pap
Scholars:
421
Papers: 288
Citations: 1
Cited Papers

Cited Papers

errShare
errSave
Coccidioidomycosis in Los Angeles County
err1970-01-01
err0
errOAAI
errHarvey Matlof; Ichiro Kamei; G. A. Heidbreder
errShare
errSave
Brain-Computer Interface-Controlled Exoskeletons in Clinical Neurorehabilitation: Ready or Not?
err2022-11-25
err32
errOAAI
errColucci, Annalisa; Vermehren, Mareike; Cavallo, Alessia; Angerhoefer, Cornelius; Peekhaus, Niels; Zollo, Loredana; Kim, Won-Seok; Paik, Nam-Jong; Soekadar, Surjo R. R.
errShare
errSave
errShare
errSave
Advances in closed-loop deep brain stimulation devices
err2017-08-11
err184
errOAAI
errParastarfeizabadi, Mahboubeh; Kouzani, Abbas Z.
errShare
errSave
Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration
errLANCET
IF88.5
err2017-05-01
err584
errOAAI
errAjiboye, A. Bolu; Willett, Francis R.; Young, Daniel R.; Memberg, William D.; Murphy, Brian A.; Miller, Jonathan P.; Walter, Benjamin L.; Sweet, Jennifer A.; Hoyen, Harry A.; Keith, Michael W.; Peckham, P. Hunter; Simeral, John D.; Donoghue, John P.; Hochberg, Leigh R.; Kirsch, Robert F.
errShare
errSave
Control Strategies for PWM Drives
err1980-03-01
err0
PREAI
errTrevor L. Grant; Thomas H. Barton
errShare
errSave
researcher View more