Neurophysiological predictors and spectro-spatial discriminative features for enhancing SMR-BCI

• Main Authors: Robinson, Neethu, Thomas, Kavitha Perumpadappil, Vinod, A P
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Brain–computer Interfaces; Electroencephalography
• Online Access: https://hdl.handle.net/10356/137223
• Institution: Nanyang Technological University

Neural engineering research is actively engaged in optimizing the robustness of sensorimotor rhythms (SMR)—brain–computer interface (BCI) to boost its potential real-world use. Objective. This paper investigates two vital factors in efficient and robust SMR-BCI design—algorithms that address subject...