SCSP-3: A Spectrally Augmented Common Spatial Pattern Approach for Robust Motor Imagery-Based Brain-Computer Interface

• Published in: IEEE sensors journal Vol. 24; no. 5; pp. 6634 - 6642
• Main Authors: Khanna, Sunreet, Chowdhury, Anirban, Dutta, Ashish, Subramanian, Venkatesh K.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Band-pass filters; Brain > computer interface (BCI); Classification; common spatial pattern (CSP); electroencephalogram (EEG); Electroencephalography; Feature extraction; Human-computer interface; Imagery; motor imagery (MI); Performance evaluation; Rhythm; Robustness; Sensors; Stroke (medical condition); support vector machine (SVM); Support vector machines; Welch power-spectrum (PS)

Common spatial pattern (CSP) is a widely used method for feature extraction in motor imagery (MI)-based brain-computer interface (BCI) development. However, the performance of traditional CSP features often lacks robustness against intersession and intersubject variabilities present in MI-related el...