International Journal of Information Technology & Computer Science ( IJITCS )
Currently, researches of EEG signals are studied in the various areas such as medical science, neuron science, psychology, computer science, Electric engineering and etc. EEG signals has received attention for decades but not fully utilized because of the artifact and noise in the analysis result. To solve out this problem, many kinds of filtering functions are adapted to extract artifact and mixed signal however it is confronted with another problem due to those solutions for noise handling and signal measurement methods has fixed function which interrupts flexible analysis. In this paper, it will design two important technologies for EEG system. First, it selects electrode channel, filed, frequency band and parameter to improve the accuracy of acquisition. Second, it grants the weight of selected parameter to apply flexibility in EEG signal for personal.
: EEG, Brain wave, parameter
- L. Chung-heon, K. Jang-woo, K. Gyu-dong, H. Jun-eui, S. Dae-Seob, and L. Dong-hoon, "A Study on EEG based Concentration Transmission and Brain Computer Interface Application," The Institute of Electronics Engineers of Korea - System and Control, vol. 46, pp. 41-46, 2009.
- D. A. K. PhD and S. O. PhD, "Effect of neurofeedback on variables of attention in a large multi-center trial," Journal of Neurotherapy, vol. 4, pp. 5-15, 2000.
- W. Min Cheol, "Brain Computer Interface Technology," Journal of the Korean Society for Precision Engineering, vol. 20, pp. 7-13, 2003.
- J. Allanson and J. Mariani, "Mind over virtual matter: using virtual environments for neurofeedback training," in Virtual Reality, 1999. Proceedings., IEEE, 1999, pp. 270-273.
- S. Su In, C. Jin Ho, and K. Myoung Nam, "Proposition for 4 Channel Frontal Lobe Electrode Configuration and Study on EOG Removal from Measured EEG," JOURNAL OF KOREA MULTIMEDIA SOCIETY, vol. 6, pp. 167-175, 2003.
- P. In sun, P. Byung Un, "Optimization Study with Neurofeedback Brain - Clinical Case Study" 2003, pp. 64-85.
- J. F. Lubar, M. O. Swartwood, J. N. Swartwood, and P. H. O'Donnell, "Evaluation of the effectiveness of EEG neurofeedback training for ADHD in a clinical setting as measured by changes in TOVA scores, behavioral ratings, and WISC-R performance," Applied Psychophysiology and Biofeedback, vol. 20, pp. 83-99, 1995