What is EEG Signal

An Electroencephalogram (EEG) is a graphical record of ongoing electrical activity produced by firing of neurons of the human brain due to internal and/or external stimuli. EEG measures the changes of the electrical activity in term of voltage fluctuations of the brain within short period of time, usually 20-40 minutes, through multiple electrodes place on the scalp. In the clinical contexts, the main diagnosis of EEG is to discover abnormalities of brain activity refer to the epileptic seizure. A seizure occurs when the neurons generate uncoordinated electrical discharges that spread throughout the brain and epilepsy is a recurrent seizure disorder caused by abnormal electrical discharges from brain cells, often in the cerebral cortex. Another clinical use of EEG is in diagnosis of coma, brain death, and encephalopathies.

Direct communication pathway between brain and  external  device  using  electrodes on scalp known as a EEG  brain signal  capturing technique.

Moreover, EEG can be used in many applications such as emotion recognition, video quality assessment, alcoholic consumption measurement, sleep stage detection, change the brainwaves by smoking and mobile phone usages, etc.

References:

[1] Neurology Applied: How Science is Bringing Music Instruction Back to Expressive Development,Visited date: August 27, 2012.

[2] EEG Signal, The science behind Bo-Tau, Visited date: August 27,2012.

[3] Epilepsy-Seizures, Visited date: August  27, 2012.

[4] M. Soleymani, T. Pun, and M. Pantic, "Multi-Modal Emotion Recognition in Response to Videos", IEEE Transactions on Affective Computing, 2012.

[5] S. Scholler, S. Bosse, M. S. Treder, B. Blankertz, G. Curio, K.-R. Müller, and T. Wiegand,” Toward a Direct Measure of Video Quality Perception Using EEG”, IEEE  Transaction on Image Processing, May 2012.

[6] W. Di, C. Zhihua, F. Ruifang, L. Guangyu, and L. Tian, “Study on human brain after consuming alcohol based on EEG signal,” 3rd Int. Conference on Computer Science and Information Technology (ICCSIT), vol 5, pp: 406 – 409, 2010.

[7] E. Estrada, H. Nazeran, F, Ebrahimi, and M Mikaeili, “EEG signal features for computer-aided sleep stage detection”, IEEE EMBS conference on neural engineering, April 29-May 2,2009.

[8] Z. M. Hanafiah, K. F. M. Yunos, Z. H. Murat, M. N. Taib, S. Lias, “ EEG brainwave pattern for smoking behaviour after horizontal rotation treatment”, IEEE student conference on research and development, Nov 2009.

[9] Z. H. Murat, R. Shilawani, S. A. Kadir, R. M. Isa, and M N. Taib, “The effects of mobile phone usage on human braingwave using EEG”, 13th International conference on modelling and simulation, 2011.