Journal of Korea Multimedia Society (한국멀티미디어학회논문지)
- Volume 7 Issue 12
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- Pages.1650-1656
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- 2004
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- 1229-7771(pISSN)
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- 2384-0102(eISSN)
Implementation of Multi-adaptive Filter for EOG Removal and Biofeedback Output Controller
- Ahn, Bo-Sep (School of Electrical Engineering and Computer Science, Kyungpook National Univ.) ;
- Kim, Pil-Un (Dept. of Medical & Biological Eng., Graduate School, Kyungpook National Univ.) ;
- Cho, Jin-Ho (Dept. of Biomedical Eng., School of Medicine, Kyungpook National Univ.) ;
- Kim, Myoung-Nam (Dept. of Biomedical Eng., School of Medicine, Kyungpook National Univ.)
- Published : 2004.12.01
Abstract
In this paper, a multi-adaptive filter is proposed for removing EOG and the 60 Hz power supply noise from EEG measured in the frontal lobe and the feedback output control method is implemented for biofeedback. The multi-adaptive filter has been implemented on the TMS320C6711 DSP system and the feedback output control algorithm has been realized by calculating the ratio of alpha wave on the TMS320C31 DSP system with real time performance. Through the experiment using the implemented multi-adaptive filter and feedback output controller, we demonstrate that the proposed adaptive filter effectively removes EOG and the 60 Hz power supply noise from the measured EEG in the frontal lobe and the feedback algorithm controls the level of stimulation by the ratio of the alpha wave.