A probabilistic approach for calibration time reduction in hybrid EEG–fTCD brain–computer interfaces

A probabilistic approach for calibration time reduction in hybrid EEG–fTCD brain–computer interfaces

Abstract Background Generally, brain–computer interfaces (BCIs) require calibration before usage to ensure efficient performance. Therefore, each BCI user has to attend a certain number of calibration sessions to be able to use the system. However, such calibration requirements may be difficult to f...

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Bibliographic Details
Main Authors: Aya Khalaf, Murat Akcakaya
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BioMedical Engineering OnLine
Subjects:
Hybrid brain–computer interfaces
Transfer learning
Common spatial pattern
Template matching
Wavelet decomposition
Probabilistic fusion
Online Access:http://link.springer.com/article/10.1186/s12938-020-00765-4

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http://link.springer.com/article/10.1186/s12938-020-00765-4

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