A new algorithm for electroencephalogram functional brain mapping based on an auditory-comprehension process

• Main Author: Cabrerizo, Mercedes
• Format: Others
• Published: FIU Digital Commons 2003
• Subjects: Computer Engineering
• Online Access: http://digitalcommons.fiu.edu/etd/1959; http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=3167&context=etd

The main objective of this thesis is to gain insight on the dynamics of the human brain through electroencephalography (EEG) analysis, with emphasis placed on the characterization of the effects of an Auditory/Comprehension task. A thorough examination of the EEG recordings was accomplished through the use of the most common brain waves (Alpha, Beta, Delta, and Theta). Conceivably, as the EEG recordings based on these tasks become better understood, their use as a helpful tool in mapping the different functions of the brain will become more effective. The EEG data was collected from 15 patients at Miami Children's Hospital using the ESI-256 system. A final evaluation of spectral arrays is performed based on comprehensive color topographic maps of the various induced brain activities. This representation allows us to bring out how different patients react under different circumstances, and to detect consequently neurological disorders such as the Attention Deficit Disorder (ADD).