@inproceedings{8b1e274c9aba4291a30eef5e9a321a4b,
title = "A study on EEG based concentration power index transmission and brain computer interface application",
abstract = "This research measures EEG signals which are generating on the head skin and extracts brain concentration level related with brain activity. We have developed wireless transmission system of concentration power index for controlling hardware by using this signal. Two channel electrodes was used for measuring EEG signal on front head and Biopac system with EEG100C was also used for measuring EEG signal, amplifying and filtering the signal. LabVIEW 8.5 was used for FFT transformation, frequency and spectrum analysis of the measured EEG signal. As a result, several kinds of brain waves, such as a waves, β waves, θ waves and δ waves have been classified according to frequency band. We extracted the concentration power index by adapting concentration extraction algorithm. This concentration power index was transferred into an automobile Lego device by wireless module for BCI application test.",
keywords = "BCI, Concentration power index, EEG, FFT, Wireless transmission",
author = "Lee, {Chung Heon} and Kwon, {Jang Woo} and Hong, {Jun Eui} and Lee, {Dong Hoon}",
year = "2009",
doi = "10.1007/978-3-642-03882-2_142",
language = "English",
isbn = "9783642038815",
series = "IFMBE Proceedings",
publisher = "Springer Verlag",
number = "4",
pages = "537--539",
booktitle = "World Congress on Medical Physics and Biomedical Engineering",
address = "Germany",
edition = "4",
note = "World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics ; Conference date: 07-09-2009 Through 12-09-2009",
}