Asynchronous multiclass mental tasks classification through very fast Versatile elliptic basis function neural network

• Main Authors: Hamedi, M., Salleh, S. H., Mohammad-Rezazadeh, I., Astaraki, M., Mohd. Noor, A.
• Format: Conference or Workshop Item
• Published: 2015
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://eprints.utm.my/id/eprint/59164/; http://dx.doi.org/10.1109/IECBES.2014.7047506

Developing efficient and usable brain-computer interfaces (BCIs) requires well-designed trade-off between accuracy and computational time. This paper presents a very fast and accurate method to classify asynchronous brain signals from a multi-class mental tasks dataset using time-domain features. Fi...