A CSP\AM-BA-SVM Approach for Motor Imagery BCI System

• Published in: IEEE access Vol. 6; pp. 49192 - 49208
• Main Authors: Selim, Sahar, Tantawi, Manal Mohsen, Shedeed, Howida A., Badr, Amr
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Attractor metagene algorithm; Band-pass filters; Bat algorithm; brain computer interface; Cognitive tasks; Competition; Datasets; Electroencephalography; Feature extraction; Human-computer interface; Image classification; motor imagery; Optimization; Support vector machines; Synchronous motors; Task analysis; Training

Brain-computer interface (BCI) has become extremely popular in recent decades. It gained its significance from the intention of helping paralyzed people communicate with the external environment. One of the major challenges facing BCI systems is obtaining reliable classification accuracy of motor im...