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Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution

Quintero Rincón, Antonio and D’Giano, Carlos and Batatia, Hadj Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution. (2020) In: 2020 International Joint Conference on Neural Networks (IJCNN), 19 July 2020 - 24 July 2020 (Glasgow, United Kingdom).

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Official URL: https://doi.org/10.1109/IJCNN48605.2020.9206862


This paper deals with the detection of mu-suppression from electroencephalographic (EEG) signals in brain-computer interface (BCI). For this purpose, an efficient algorithm is proposed based on a statistical model and a linear classifier. Precisely, the generalized extreme value distribution (GEV) is proposed to represent the power spectrum density of the EEG signal in the central motor cortex. The associated three parameters are estimated using the maximum likelihood method. Based on these parameters, a simple and efficient linear classifier was designed to classify three types of events: imagery, movement, and resting. Preliminary results show that the proposed statistical model can be used in order to detect precisely the mu-suppression and distinguish different EEG events, with very good classification accuracy.

Item Type:Conference or Workshop Item (Poster)
Additional Information:Thanks to IEEE. The original document is available on IEEE Xplore : https://ieeexplore.ieee.org/document/9206862 © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-03159930
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Other partners > Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia - FLENI (ARGENTINA)
Laboratory name:
Deposited On:21 Oct 2020 08:07

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