Shandong Jianzhu University Researchers Discuss Findings in Imaging Technology (A Region of Interest-Based Electrophysiological Source Imaging Technology and its Applications in Analysis of Motor Imagery EEG Signals).

Researchers from Shandong Jianzhu University in China have developed a region of interest-based electrophysiological source imaging (ESI) technology for analyzing motor imagery electroencephalogram (MI-EEG) signals. ESI technology maps scalp potentials to the cerebral cortex, addressing the limitations of low spatial resolution and volume conduction effects of EEG signals. The proposed method utilizes ESI technology to map scalp potential data to the cerebral cortex, determines regions of interest (ROI) based on sensor position information, and performs feature extraction and classification using filter bank CSP and support vector machine. Experimental results show that this method improves signal processing speed and accuracy, making it suitable for online brain-computer interface applications. [Extracted from the article]