Abstract
An Interface is developed between human brain and a digital world, called as brain-computer interface (BCI). In various applications, BCI is used nowadays in our day to day activities. The recent researches focus on the BCI communication for coma patients for their thought related activities. BCI is an unconventional method to ordinary communication and direct feedback system. Due to the presence of neural relations, there will be an existence of different rhythms for different brain states. In consistent, the rhythms produces a different waves portrayed by different amplitudes and frequencies. This proposed work deals with the different brain state analysis by the Electroencephalography (EEG) signals due to the neuronal reactions. EEG signal is acquired from the brainwave sensor and the signals are detached from the various noises. The time domain features are extracted in terms of various frequency ranges and the respective commands are classified for analyzing the state of the coma patients. The proposed work is analyzed in the software as it involves human interaction.
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 Engineering and Advanced Technology
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.
