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In this paper, presented at EMBC 2025, we show how acoustic dynamic range of a speech stimulus influences the speech-EEG correlation when using that correlation as a metric for absolute attention.

In this paper, presented at EMBC 2025, we present a wireless EEG sensor network of two independent miniature behind-the-ear sensor nodes.

In this article, presented at EUSIPCO 2025, we present a novel method to model the performance curve of EEG-based AAD algorithms starting from a single decision window length.

In this paper, presented at EUSIPCO 2024, we present a probabilistic gain control system steered by brain-decoded auditory attention decoding algorithms.

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!

In this article, presented at ICASSP 2023, we present an update of the unsupervised stimulus decoder that avoids its inherent bias to the initialization.

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.

In this article, presented at EUSIPCO 2019, we present a new performance metric to evaluate AAD algorithms.

In this article, presented at ACSSC 2018, we propose a tensor-based algorithm for detection of atrial fibrillation in ECG signals.