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Probabilistic Gain Control in a Multi-Speaker Setting using EEG-Based Auditory Attention Decoding
In this paper, presented at EUSIPCO 2024, we present a probabilistic gain control system steered by brain-decoded auditory attention decoding algorithms.
Nicolas Heintz, Simon Geirnaert, Iris Van de Ryck, Tom Francart, Alexander Bertrand
August, 2024 In Proceedings of EUSIPCO 2024, 2024
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Probabilistic Gain Control in a Multi-Speaker Setting using EEG-Based Auditory Attention Decoding
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses
In this paper, presented at EUSIPCO 2023, we propose a new signal processing technique to extract stimulus-following neural reponses from a group of subjects. All MATLAB code to implement the method and reproduce the experiments is available!
Simon Geirnaert, Tom Francart, Alexander Bertrand
September, 2023 In Proceedings of EUSIPCO 2023, 2023
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Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses
Unbiased Unsupervised Stimulus Reconstruction for EEG-Based Auditory Attention Decoding
In this article, presented at ICASSP 2023, we present an update of the unsupervised stimulus decoder that avoids its inherent bias to the initialization.
Nicolas Heintz, Simon Geirnaert, Tom Francart, Alexander Bertrand
June, 2023 In Proceedings of ICASSP 2023, 2023
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Unbiased Unsupervised Stimulus Reconstruction for EEG-Based Auditory Attention Decoding
Riemannian Geometry-Based Decoding of the Directional Focus of Auditory Attention Using EEG
In this article, presented at ICASSP 2021, we present a novel method to decode the spatial focus of auditory attention from EEG using Riemmanian geometry-based classifiers.
Simon Geirnaert, Tom Francart, Alexander Bertrand
June, 2021 In Proceedings of the ICASSP 2021, 2021
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Riemannian Geometry-Based Decoding of the Directional Focus of Auditory Attention Using EEG
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
Tensor-based ECG Signal Processing Applied to Atrial Fibrillation Detection
In this article, presented at ACSSC 2018, we propose a tensor-based algorithm for detection of atrial fibrillation in ECG signals.
Simon Geirnaert, Griet Goovaerts, Sibasankar Padhy, Martijn Boussé, Lieven De Lathauwer, Sabine Van Huffel
October, 2018 In Proceedings of ACSSC 2018, 2018
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Tensor-based ECG Signal Processing Applied to Atrial Fibrillation Detection