A feature selection method for multilevel mental fatigue EEG classification.

Full Abstract

Two feature selection approaches for multilevel mental fatigue electroencephalogram (EEG) classification are presented in this paper, in which random forest (RF) is combined with the heuristic initial feature ranking scheme (INIT) or with the recursive feature elimination scheme (RFE). In a "leave-one-proband-out" evaluation strategy, both feature selection approaches are evaluated on the recorded mental fatigue EEG time series data from 12 subjects (each for a 25-h duration) after initial feature extractions. The latter of the two approaches performs better both in classification performance and more importantly in feature reduction. RF with RFE achieved its lowest test error rate of 12.3% using 24 top-ranked features, whereas RF with INIT reached its lowest test error rate of 15.1% using 64 top-ranked features, compared to a test error rate of 22.1% using all 304 features. The results also show that 17 key features (out of 24 top-ranked features) are consistent between the subjects using RF with RFE, which is superior to the set of 64 features as determined by RF with INIT.

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Author information

Author/s: Shen, Kai-Quan (KQ); Ong, Chong-Jin (CJ); Li, Xiao-Ping (XP); Hui, Zheng (Z); Wilder-Smith, Einar P V (EP);

Affiliation: Department of Mechanical Engineering, National University of Singapore 117576, Singapore. shen@nus.edu.sg

Journal and publication information

Publication Type: Journal Article

Journal: IEEE transactions on bio-medical engineering (IEEE Trans Biomed Eng), published in United States. (Language: eng)

Reference: 2007-Jul; vol 54 (issue 7) : pp 1231-7

Dates: Created 2007/07/03; Completed 2007/08/01;

PMID: 17605354, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Adult
Arousal
Artificial Intelligence
Brain - physiopathology
Brain Mapping - methods
Diagnosis, Computer-Assisted - methods
Electroencephalography - methods
Evoked Potentials

Evoked Potentials
Female
Humans
Male
Mental Fatigue - diagnosis; physiopathology
Pattern Recognition, Automated - methods
Reproducibility of Results
Sensitivity and Specificity

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