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Improvement of EEG Processing System ""BBFFT2ANOVA"" - To Generate Detailed Graph Data Corresponding to ANOVA Results -


Takashi Ajiro, Koichiro Shimomura, Hirobumi Yamamoto, Kenichi Kamijo


Vol. 11  No. 10  pp. 29-44


At the Toyo University Plant Regulation Research Center, we have officially performed electroencephalogram (EEG) experiments a number of times. Our purpose is to investigate and analyze EEG fluctuations in individuals after they have ingested vegetables: for example, after consuming Komatsuna (also known as Japanese mustard spinach) or drinking carrot juice. To analyze EEG data derived from past experiments, we had to use two original composite methods, which were ANOVA using statistical software and fluctuation graphs using Microsoft Excel. Either “Basic Analysis” or “Detailed Analysis” was used as the latter method, and although our EEG processing system, “BBFFT2ANOVA,” provided Basic Analysis, its analysis capability was not sufficient. In our past studies, we manually calculated the Detailed Analysis on Microsoft Excel. However, this is difficult for people to do if they have to operate many cells, and human errors are common. We designed and developed an improved EEG processing system called “BBFFT2ANOVA v2” that is based on the v1 system. The new system has four primary additions/improvements, the most noteworthy of which is the inclusion of Detailed Analysis instead of Basic Analysis. Furthermore, we confirmed the system's behavior is valid, comparing generated files with manually created ones. The results indicate that the operational costs as well as the amount of analysis processes required will both be considerably reduced by using this system, in EEG research project.


ANOVA, SOC, EEG, vegetable ingestion, algorithm, analysis program, BBFFT2ANOVA