Vertaile menetelmiä

	Yleinen spatiaalinen kuvio	BCI-liikemielikuvitus
Tieteenala	Biomekaniikka	Biomekaniikka
Menetelmäperhe	Process / pipeline	Process / pipeline
Syntyvuosi	2000	1999
Kehittäjä	Herbert Ramoser	Gert Pfurtscheller
Tyyppi	Spatial filtering and feature extraction	Neural signal processing and decoding pipeline
Alkuperäislähde	Ramoser, H., Mueller-Gerking, J., & Pfurtscheller, G. (2000). Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Transactions on Rehabilitation Engineering, 8(4), 441-446.	Pfurtscheller, G., & Neuper, C. (1999). Motor imagery and direct brain-computer communication. Proceedings of the IEEE, 89(7), 1123-1134.
Rinnakkaisnimet	CSP, Spatial filtering, CSP decomposition	Motor imagery BCI, MI-BCI, EEG motor decoding
Liittyvät	3	3
Tiivistelmä	Common Spatial Pattern (CSP) is a spatial filtering technique that identifies electrode combinations that maximize the variance difference between two classes of EEG activity, typically used in brain-computer interfaces to enhance motor imagery discrimination. Introduced by Ramoser and colleagues in 2000, CSP has become a standard feature extraction method in BCI research.	Brain-computer interface (BCI) using motor imagery decodes the intent to move from brain activity (typically EEG) recorded while subjects imagine movement without actual muscle contraction. Pioneered by Gert Pfurtscheller and colleagues, motor imagery BCIs enable communication and control for paralyzed patients and enhance motor learning in rehabilitation.