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

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

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...

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Bibliographic Details
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
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/137223

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