Abstract
Event related potential (ERP) based brain computer interfacing (BCI) achieves significant stability. Changes in electroencephalogram (EEG) signals related to various tasks have been significantly observed. However, each ERP related to particular task can be only exploited as one-to-one relation with specific command or operation. This limits the variability of BCI system and increases the amount of work to identify task related accurate pattern changes in EEG. In this paper, sub-band analysis of detected ERP is proposed in order to factorise one-to-one relation into one-to-many for increasing the variability of BCI system. First, the hypothesis based on analysis of event related spectral perturbation (ERSP) is stated, and then the hypothetical concept is generalised with sub-bands decomposition of ERP, followed by culminative power estimation. Results show that the proposed technique can be easily implemented as a method of combined factorised feature extraction (CFFE) to execute multiple commands from single ERP.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Bioinformatics Research and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
