השוואת שיטות

	דימות מוטורי ממשק מוחי-מחשב (BCI)	תבנית מרחבית נפוצה
תחום	ביומכניקה	ביומכניקה
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1999	2000
הוגה השיטה	Gert Pfurtscheller	Herbert Ramoser
סוג	Neural signal processing and decoding pipeline	Spatial filtering and feature extraction
מקור מכונן	Pfurtscheller, G., & Neuper, C. (1999). Motor imagery and direct brain-computer communication. Proceedings of the IEEE, 89(7), 1123-1134.	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.
כינויים	Motor imagery BCI, MI-BCI, EEG motor decoding	CSP, Spatial filtering, CSP decomposition
קשורות	3	3
תקציר	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.	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.