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, 1997

Accepted:

April 14, 1997

Published:

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.

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