This paper presents the combination of clustering-based independent component analysis (ICASSO) and power spectral density (PSD) as a features extractor of mental fatigue from spinal cord injury (SCI) patients. Initially, the results show that SCI and abled-bodied groups have no differences in EEG for alert and mental fatigue states. Further, the coefficient determination (R) is calculated for testing the variation of data alert vs. fatigue on the SCI group, resulting in a lower R for proposed combination of ICASSO and PSD method compared to the PSD method only. With the lower R values, this shows that the proposed method ICASSO and PSD is able to provide superior distinction for separating fatigue vs. alert data variation. The statistical significance is found across four EEG bands and EEG channels.
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| http://dx.doi.org/10.1109/EMBC.2019.8857137 | DOI Listing |
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