An adaptive CSP filter to investigate user independence in a 3-class MI-BCI paradigm

• Published in: Computers in biology and medicine Vol. 103; pp. 24 - 33
• Main Authors: Costa, Ana.P., Møller, Jakob.S., Iversen, Helle.K., Puthusserypady, Sadasivan
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.12.2018; Elsevier Limited
• Subjects: Adaptation; Adaptive algorithms; Adaptive filters; Algorithms; Brain; Brain-computer interface (BCI); Calibration; Clinical trials; Common spatial patterns (CSP); Computer applications; Data processing; Diagonal loading (DL) CSP (DLCSP); Electroencephalography; Electroencephalography(EEG); Feedback; Human-computer interface; Imagery; Implants; Internal Medicine; Kalman filters; Mental task performance; Methods; Motor imagery (MI); Other; Recursive least squares (RLS); Recursive methods; Regularization; Rehabilitation; Stroke; Stroke rehabilitation; Motor imagery (MI); Recursive least squares (RLS); Stroke rehabilitation; Diagonal loading (DL) CSP (DLCSP); Common spatial patterns (CSP); Brain-computer interface (BCI); Electroencephalography(EEG)

This paper describes the implementation of a Brain Computer Interface (BCI) scheme using a common spatial patterns (CSP) filter in combination with a Recursive Least Squares (RLS) approach to iteratively update the coefficients of the CSP filter. The proposed adaptive CSP (ACSP) algorithm is made mo...