Simon Geirnaert
Simon Geirnaert
Home
Publications
Presentations
SciComm
Speech decoding resources
Music
CV
Contact
Publications
Type
Conference paper
Journal article
Preprint
Book section
Thesis
Date
2024
2023
2022
2021
2020
2019
2018
EEG-based Decoding of Selective Visual Attention in Superimposed Videos
In this preprint, we present a new experiment in which participants attend on of two superimposed video, and we show that we can decode their attention from EEG and gaze data.
Yuanyuan Yao
,
Wout De Swaef
,
Simon Geirnaert
,
Alexander Bertrand
September, 2024
preprint
PDF
Cite
DOI
Stimulus-Informed Generalized Canonical Correlation Analysis for Group Analysis of Neural Responses to Natural Stimuli
In this paper, we present a new signal processing technique for the group analysis of stimulus-following neural responses, building upon our conference precursor. Again, all code is available!
Simon Geirnaert
,
Yuanyuan Yao
,
Tom Francart
,
Alexander Bertrand
August, 2024
IEEE Journal of Bioemdical and Health Informatics
PDF
Cite
Code
DOI
Dataset I
Dataset II
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
PDF
Cite
Dataset
‘Are you even listening?’ - EEG-based decoding of absolute auditory attention to natural speech
In this article, we perform absolute attention decoding to speech based on EEG signals, to determine whether a subject is attending to the speech or not.
Arnout Roebben
,
Nicolas Heintz
,
Simon Geirnaert
,
Tom Francart
,
Alexander Bertrand
June, 2024
Journal of Neural Engineering
, vol. 21, no. 3, 036046, 2024
PDF
Cite
Dataset
DOI
Identifying Temporal Correlations Between Natural Single-shot Videos and EEG Signals
In this article, we demonstrate how a new object-based video feature leads to robust correlations with the decoded activity from EEG when subjects are watching natural videos.
Yuanyuan Yao
,
Axel Stebner
,
Tinne Tuytelaars
,
Simon Geirnaert
,
Alexander Bertrand
February, 2024
Journal of Neural Engineering
, vol. 21, no. 1, 016018, 2024
PDF
Cite
Dataset
DOI
What are we really decoding? Unveiling biases in EEG-based decoding of the spatial focus of auditory attention
In this article, we try to uncover potential biases of the CSP-based decoding of the spatial focus of auditory attention, using a multi-talker audiovisual EEG experiment.
Iustina Rotaru
,
Simon Geirnaert
,
Nicolas Heintz
,
Iris Van de Ryck
,
Alexander Bertrand
,
Tom Francart
February, 2024
Journal of Neural Engineering
, vol. 21, no. 1, 016017, 2024
PDF
Cite
Dataset
DOI
Unsupervised Accuracy Estimation for Brain-Computer Interfaces based on Selective Auditory Attention Decoding
In this preprint, we present a new unsupervised method to estimate the performance of the stimulus reconstruction algorithm for EEG-based auditory attention decoding.
Miguel Ángel López-Gordo
,
Simon Geirnaert
,
Alexander Bertrand
February, 2024
preprint
PDF
Cite
Code
Dataset
DOI
Fast, accurate, unsupervised, and time-adaptive EEG-based auditory attention decoding for neuro-steered hearing devices
This book chapter, published in
Brain-Computer Interface Research
, summarizes my PhD research and is written following my nomination for the BCI Award 2022.
Simon Geirnaert
,
Rob Zink
,
Tom Francart
,
Alexander Bertrand
January, 2024
in
Brain-Computer Interface Research
, 2024
PDF
Cite
Video
DOI
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
PDF
Cite
Code
Dataset
Slides
DOI
Video Presentation
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
PDF
Cite
Dataset
DOI
Grouped variable selection for generalized eigenvalue problems
In this article, published in
Signal Processing
, we present a novel sparse variable selection method for generalized Rayleigh quotient optimization and generalized eigenvalue problems, which are ubiquitous in many signal processing fields.
Jonathan Dan
,
Simon Geirnaert
,
Alexander Bertrand
June, 2022
Signal Processing
, vol. 195, 108476, 2022
PDF
Cite
DOI
Algorithm code
Experiment code
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
PDF
Cite
Video
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
PDF
Cite
DOI
Dataset I
Dataset II
Demo
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
PDF
Cite
Slides
DOI
Dataset I
Dataset II
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
PDF
Cite
Code
Dataset
Poster
Slides
DOI
Video Presentation
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
PDF
Cite
DOI
Dataset I
Dataset II
Video abstract
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
PDF
Cite
Code
DOI
Dataset I
Demo
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
PDF
Cite
Dataset
DOI
Toolbox
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
PDF
Cite
Poster
Slides
DOI
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
PDF
Cite
Poster
Slides
DOI
Cite
×