EEG Feature Extraction Using Genetic Programming for the Classification of Mental States
LEGRAND, Pierrick
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Université de Bordeaux [UB]
See more >
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Université de Bordeaux [UB]
LEGRAND, Pierrick
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Université de Bordeaux [UB]
< Reduce
Quality control and dynamic reliability [CQFD]
Institut de Mathématiques de Bordeaux [IMB]
Université de Bordeaux [UB]
Language
en
Article de revue
This item was published in
Algorithms. 2020-09, vol. 13, n° 9, p. 221
MDPI
English Abstract
The design of efficient electroencephalogram (EEG) classification systems for the detectionof mental states is still an open problem. Such systems can be used to provide assistance to humansin tasks where a certain level ...Read more >
The design of efficient electroencephalogram (EEG) classification systems for the detectionof mental states is still an open problem. Such systems can be used to provide assistance to humansin tasks where a certain level of alertness is required, like in surgery or in the operation of heavymachines, among others. In this work, we extend a previous study where a classification system isproposed using a Common Spatial Pattern (CSP) and Linear Discriminant Analysis (LDA) for theclassification of two mental states, namely a relaxed and a normal state. Here, we propose an enhancedfeature extraction algorithm (Augmented Feature Extraction with Genetic Programming, or+FEGP)that improves upon previous results by employing a Genetic-Programming-based methodologyon top of the CSP. The proposed algorithm searches for non-linear transformations that build newfeatures and simplify the classification task. Although the proposed algorithm can be coupled withany classifier, LDA achieves 78.8% accuracy, the best predictive accuracy among tested classifiers,significantly improving upon previously published results on the same real-world dataset.Read less <
English Keywords
EEG
Classification
Genetic programming
Feature extraction
Mental states
European Project
Analysis and classification of mental states of vigilance with evolutionary computation
Origin
Hal imported