Optimal filtering of EEG signals with several gestures

Issue title: ICMIT'03

Article type: Research Article

Authors: HO, Choi Kyoung^a | Sasaki, Minoru^b

Affiliations: [a] Department of Mechanical and Civil Engineering, Gifu University, 1-1 Yanagido, Gifu City, Gifu 501-1193, Japan. Tel.: +81 58 293 2541; Fax: +81 58 230 1892; E-mail: [email protected] | [b] Department of Human and Information Systems Engineering, Gifu University, 1-1 Yanagido, Gifu City, Gifu 501-1193, Japan. Tel.: +81 58 293 2541; Fax: +81 58 230 1892; E-mail: [email protected]

Abstract: Every movement, perception and thought we perform is associated with distinct neural activation patterns. Neurons in the brain communicate with each other by sending electrical impulses that produce currents. These currents give rise to electrical fields that can be measured outside the head. It shows some variation on the electroencephalographic signals. In recent devices, the EEG signals measured from head surface are a sum of all the momentary brain activation. With these EEG signals, it is difficult to distinguish the patterns correlated with a certain event from the signals. However, the system must discriminate some patterns with some events especially for any kind of device as a brain control interface system. In this experiment, the sensory-motor cortex of humans has been extensively studied. Activation related to several movements on both sides of the sensory-motor cortices in imaginary. The activation patterns during imagination of several movements resemble the activation patterns during preparation of movements. The result represents the system based on the optimal filters discriminated at least 60% of mental imageries.

DOI: 10.3233/JAE-2006-806

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 24, no. 3-4, pp. 235-246, 2006