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Extraction of Features in EEG
Ichiro Hamamoto, Hisaya Tanaka, Masafumi Uchida and Hideto Ide
College of Science and Engineering, Aoyama Gakuin University, 6-16-1, Chitosedai, Setagaya-ku, Tokyo, 157, Japan
Received:March 11, 1997Accepted:April 14, 1997Published:June 20, 1997
Keywords:EEG, Brain, Filter, Sensor, Man-machine interface
Abstract
We take various information from the outside world into our brain by moving our eyes in every direction and sounds EEG contain basic rhythms of the brain, such as alpha waves, and components, such as myoelectric potentials. The results of the simulation indicated that the use of multiple windows would raise the accuracy in the detection of time delays and demonstrated the effectiveness of the present technique. However, the features of the estimated waveforms of the adaptive correlation filter are affected by various elements, and the level of accuracy is not so high as to be useful in clinical medicine.
Cite this article as:I. Hamamoto, H. Tanaka, M. Uchida, and H. Ide, “Extraction of Features in EEG,” J. Robot. Mechatron., Vol.9 No.3, pp. 239-242, 1997.Data files:
