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Patterns Analysis of Prefrontal Brain Waves of Cancer Patients using Brain-Computer-Interface  

Han, Young-Soo (서울벤처정보대학원대학교 정보경영학과)
Chae, Myoung-Sin (서울벤처정보대학원대학교 정보경영학과)
Park, Pyung-Woon (서울불교대학원대학교 심신통합치유학과)
Park, Chong-Ki (에덴요양병원)
Publication Information
Journal of KIISE:Software and Applications / v.35, no.3, 2008 , pp. 169-178 More about this Journal
Abstract
Cancer patients have been suffered from the instability of mind/body and unbalanced homeostasis because of cancer progression and medical treatment such as chemotherapy, It is very important that appropriated actions can be promptly taken by monitoring cancer patients' mental conditions. For this reason, it is crucial to develop a monitoring method which is convenient and not harmful to their body. Brain-computer-interface(BCI) system is introduced for the purpose in this paper. Prefrontal brain waves of cancer patients and control groups have been measured by a portable neurofeedback(NF) system based on self-regulation of the human electroencephalogram(EEG). The NF system consists of the portable EEG amplifier and a headband with dry electrodes placed on Fp1 and Fp2 sites. Patterns of the prefrontal brain waves taken by computer are correlated to brain quotients by EEG-analysis program. Basic rhythm quotient, attention quotient, emotional quotient, anti-stress quotient and correlation quotient of control group have shown high significant level compared with the cancer patients group. On the other hand, the EEG patterns analysis is shown its possibility to be an important methodology of monitoring cancer patients' condition.
Keywords
cancer; homeostasis; brainwaves(EEG); prefrontal lobe; brain quotient;
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