Combining ICA clustering and power spectral density for feature extraction of mental fatigue of spinal cord injury patients

Rifai Chai, Yvonne Tran, Sai Ho Ling, Ashley Craig, Hung T. Nguyen

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

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 (R2) is calculated for testing the variation of data alert vs. fatigue on the SCI group, resulting in a lower R2 for proposed combination of ICASSO and PSD method compared to the PSD method only. With the lower R2 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.

Original languageEnglish
Title of host publication2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages530-533
Number of pages4
ISBN (Electronic)9781538613115
ISBN (Print)9781538613115
DOIs
Publication statusPublished - 1 Jul 2019
Event41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, Germany
Duration: 23 Jul 201927 Jul 2019

Conference

Conference41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
CountryGermany
CityBerlin
Period23/07/1927/07/19

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Chai, R., Tran, Y., Ling, S. H., Craig, A., & Nguyen, H. T. (2019). Combining ICA clustering and power spectral density for feature extraction of mental fatigue of spinal cord injury patients. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 (pp. 530-533). [8857137] Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EMBC.2019.8857137