Analysis of eyes open, eye closed EEG signals using second-order difference plot |
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Authors: | Ranjit A Thuraisingham Yvonne Tran Peter Boord Ashley Craig |
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Institution: | (1) Department of Medical and Molecular Biosciences, University of Technology, Sydney, PO Box 123, Broadway, NSW, 2007, Australia |
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Abstract: | An assistive technology developed for “hands free” control of electrical devices to be used by severely impaired people within
their environment, relies upon using signal processing techniques for analyzing eyes closed (EC) and eyes open (EO) states
in the electroencephalography (EEG) signal. Here, we apply a signal processing technique used in continuous chaotic modeling
to investigate differences in the EEG time series between EC and EO states. This method is used to detect the degree of variability
from a second-order difference plot, and quantifying this using a central tendency measures. The study used EEG time series
of EO and EC states from 33 able-bodied and 17 spinal cord injured participants. The results found an increased EEG variability
in brain activity during EC compared to EO. This increased EEG variability occurred in the O2 electrode, which overlays the
primary visual cortex V1, and could be a result of the replacement of the coherent information obtained during EO by noise.
A continuous measure of the variability was then used to demonstrate that this technique has the potential to be used as a
switching mechanism for assistive technologies. |
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Keywords: | Second-order difference plot Electroencephalography Assistive technology Central tendency measure Spinal cord injury |
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