Electrophysiological Analysis Of Agony And Consciousness In Comatose
S.M.Seeni Mohamed Aliar Maraikkayar1, R.Tamilselvi2, A. Sabah Afroze3, M.Parisa Beham4, K.Rajakumar5
1S.M.Seeni Mohamed Aliar Maraikkayar, Sethu Institute of Technology, Tamilnadu, India-626 115,
2R.Tamilselvi, Sethu Institute of Technology, Tamilnadu, India-626 115,
3A. Sabah Afrosze, Sethu Institute of Technology, Tamilnadu, India-626 115,
4M.Parisa Beham, Sethu Institute of Technology, Tamilnadu, India-626 115,
5K.Rajakumar, Sethu Institute of Technology, Tamilnadu, India-626 115.
Manuscript received on July 30, 2019. | Revised Manuscript received on August 25, 2019. | Manuscript published on August 30, 2019. | PP: 4256-4259 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9084088619/2019©BEIESP | DOI: 10.35940/ijeat.F9084.088619
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: BCI, Electroencephalograph, FFT (Fast Fourier Transform), cognitive state, comatose, agony.