Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Supriya Shete"'
Publikováno v:
Volume: 25, Issue: 3 1795-1806
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
An electroencephalogram (EEG) is an electrical signal in microvolts captured noninvasively from the brain, which provides important and unique information about the brain. The frequency of an EEG signal lies between 0 and 100 Hz. Decomposition of an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7839fd7e19e4c35bcf0c656b1b5a2d2e
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/35784/400508
https://dergipark.org.tr/tr/pub/tbtkelektrik/issue/35784/400508
Autor:
Supriya Shete, Revathi Shriram
Publikováno v:
International Journal of Computer Applications. 96:49-52
Activity refers two activities and in this work to classification between two activities is achieved with the help of statistical feature extraction technique. [5] The term silent activity refers to the two processes in which we are proposing a metho
Autor:
Revathi Shriram, Supriya Shete
Publikováno v:
2014 Fourth International Conference on Communication Systems and Network Technologies.
The effective classification of EEG used for brain computer interface and can be used for silent communication or for recognizing different mental tasks. The electroencephogram (EEG) contains information about brain hence the sub-band decomposition o