BCI

Signal Processing Algorithms for EEG-based Auditory Attention Decoding
In May 2022, I obtained my PhD degree in Electrical Engineering under the supervision of Prof. Tom Francart and Prof. Alexander Bertrand summa cum laude with congratulations from the board of examiners.
Simon Geirnaert, Tom Francart, Alexander Bertrand
May, 2022 PhD thesis
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Signal Processing Algorithms for EEG-based Auditory Attention Decoding
Time-Adaptive Unsupervised Auditory Attention Decoding Using EEG-Based Stimulus Reconstruction
In this article, publlished in IEEE Journal of Biomedical and Health Informatics, we present a new time-adapative unsupervised stimulus decoder for AAD.
Simon Geirnaert, Tom Francart, Alexander Bertrand
March, 2022 IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 8, pp. 3767-3778, 2022
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Time-Adaptive Unsupervised Auditory Attention Decoding Using EEG-Based Stimulus Reconstruction
Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices
In this article, published in IEEE Signal Processing Magazine, we provide a broad review and a statistically grounded comparative study of EEG-based AAD algorithms and address the main signal processing challenges in this field.
Simon Geirnaert, Servaas Vandecappelle, Emina Alickovic, Alain de Cheveigné, Edmund Lalor, Bernd T. Meyer, Sina Miran, Tom Francart, Alexander Bertrand
June, 2021 IEEE Signal Processing Magazine, vol. 38, no. 4, pp. 89-102, 2021
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Electroencephalography-Based Auditory Attention Decoding: Toward Neurosteered Hearing Devices
Unsupervised Self-Adaptive Auditory Attention Decoding
In this article, presented in IEEE Journal of Biomedical and Health Informatics, we present a novel unsupervised algorithm to train a stimulus decoder for AAD.
Simon Geirnaert, Tom Francart, Alexander Bertrand
April, 2021 IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 10, pp. 3955-3966, 2021
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Unsupervised Self-Adaptive Auditory Attention Decoding
Fast EEG-Based Decoding Of The Directional Focus Of Auditory Attention Using Common Spatial Patterns
In this article, published in IEEE Transactions on Biomedical Engineering, we propose a new common spatial pattern-based algorithm to decode the spatial focus of auditory attention from EEG signals.
Simon Geirnaert, Tom Francart, Alexander Bertrand
October, 2020 IEEE Transactions on Biomedical Engineering, vol. 68, no. 5, pp. 1557-1568, 2021
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Fast EEG-Based Decoding Of The Directional Focus Of Auditory Attention Using Common Spatial Patterns
An Interpretable Performance Metric for Auditory Attention Decoding Algorithms in a Context of Neuro-Steered Gain Control
In this article, published in IEEE Transactions on Neural Systems and Rehabilitation Engineering, we present a novel interpretable performance metric for AAD algorithms based on an adative gain control system.
Simon Geirnaert, Tom Francart, Alexander Bertrand
November, 2019 IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 1, pp. 304-317, 2020
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An Interpretable Performance Metric for Auditory Attention Decoding Algorithms in a Context of Neuro-Steered Gain Control
A New Metric to Evaluate Auditory Attention Detection Performance Based on a Markov Chain
In this article, presented at EUSIPCO 2019, we present a new performance metric to evaluate AAD algorithms.
Simon Geirnaert, Tom Francart, Alexander Bertrand
September, 2019 In Proceedings of EUSIPCO 2019, 2019
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A New Metric to Evaluate Auditory Attention Detection Performance Based on a Markov Chain