Verification of brainwave balancing index (BBI) using EEG / Muhammad Amynul Hafeez Mustaffa

• Main Author: Mustaffa, Muhammad Amynul Hafeez
• Format: Thesis
• Language: English
• Published: 2010
• Online Access: https://ir.uitm.edu.my/id/eprint/81500/1/81500.pdf; https://ir.uitm.edu.my/id/eprint/81500/

This paper presents on verification of brain wave balancing index system using EEC In this research, both left and right side of human brainwave was recorded using non-invasive techniques called EEG. The brainwave signal was analyzed via intelligent signal processing method to determine the correlation between the left and right brain hemisphere resulting in brainwave balancing index. The index results involved in five categories that are Highly Balanced, Balanced, Moderately Balanced, Less Balanced and Un-Balanced. This research involves 53 samples. A set of brainwave dominance questionnaire were given to the samples during an interview session with them. Then the samples were test via EEG. The data collected were analyzed using three methods that are RAW data, Power Spectrum Density (PSD) and Artifact removed. Finally, all the result were compared and it is shows that PSD give the best result with 82% accuracy which is greater than the RAW data and Artifact Removed that give 75% accuracy.