विधियों की तुलना करें

	BCI मोटर इमेजरी	सामान्य स्थानिक पैटर्न
क्षेत्र	जैव यांत्रिकी	जैव यांत्रिकी
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1999	2000
प्रवर्तक	Gert Pfurtscheller	Herbert Ramoser
प्रकार	Neural signal processing and decoding pipeline	Spatial filtering and feature extraction
मौलिक स्रोत	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.
उपनाम	Motor imagery BCI, MI-BCI, EEG motor decoding	CSP, Spatial filtering, CSP decomposition
संबंधित	3	3
सारांश	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.