Signal processing methods for mental fatigue measurement and monitoring using EEG
Ph.D
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2011
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sg-nus-scholar.10635-282882020-11-18T05:00:53Z Signal processing methods for mental fatigue measurement and monitoring using EEG SHEN KAIQUAN MECHANICAL ENGINEERING LI XIAOPING WILDER-SMITH, EINAR P V Mental fatigue, EEG, signal processing, feature selection, artifact removal, support vector machine Ph.D DOCTOR OF PHILOSOPHY 2011-11-08T18:03:31Z 2011-11-08T18:03:31Z 2009-04-13 Thesis SHEN KAIQUAN (2009-04-13). Signal processing methods for mental fatigue measurement and monitoring using EEG. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/28288 NOT_IN_WOS en |
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Singapore Singapore |
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Mental fatigue, EEG, signal processing, feature selection, artifact removal, support vector machine |
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Mental fatigue, EEG, signal processing, feature selection, artifact removal, support vector machine SHEN KAIQUAN Signal processing methods for mental fatigue measurement and monitoring using EEG |
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Ph.D |
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MECHANICAL ENGINEERING |
author_facet |
MECHANICAL ENGINEERING SHEN KAIQUAN |
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Theses and Dissertations |
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SHEN KAIQUAN |
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SHEN KAIQUAN |
title |
Signal processing methods for mental fatigue measurement and monitoring using EEG |
title_short |
Signal processing methods for mental fatigue measurement and monitoring using EEG |
title_full |
Signal processing methods for mental fatigue measurement and monitoring using EEG |
title_fullStr |
Signal processing methods for mental fatigue measurement and monitoring using EEG |
title_full_unstemmed |
Signal processing methods for mental fatigue measurement and monitoring using EEG |
title_sort |
signal processing methods for mental fatigue measurement and monitoring using eeg |
publishDate |
2011 |
url |
https://scholarbank.nus.edu.sg/handle/10635/28288 |
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