3 code implementations • 20 Feb 2024 • Jonathan Dan, Una Pale, Alireza Amirshahi, William Cappelletti, Thorir Mar Ingolfsson, Xiaying Wang, Andrea Cossettini, Adriano Bernini, Luca Benini, Sándor Beniczky, David Atienza, Philippe Ryvlin
Based on existing guidelines and recommendations, the framework introduces a set of recommendations and standards related to datasets, file formats, EEG data input content, seizure annotation input and output, cross-validation strategies, and performance metrics.
no code implementations • 26 Mar 2023 • Una Pale, Tomas Teijeiro, David Atienza
In this work, we demonstrate a few additional aspects in which HD computing, and the way its models are built and stored, can be used for further understanding, comparing, and creating more advanced machine learning models for epilepsy detection.
no code implementations • 21 Feb 2023 • Una Pale, Tomas Teijeiro, David Atienza
Epilepsy is a chronic neurological disorder that affects a significant portion of the human population and imposes serious risks in the daily life of patients.
no code implementations • 9 Jun 2022 • William Andrew Simon, Una Pale, Tomas Teijeiro, David Atienza
However, its accuracy is not yet on par with other Machine Learning (ML) approaches.
no code implementations • 16 May 2022 • Una Pale, Tomas Teijeiro, David Atienza
As a result, we believe it can support the ML community to further foster the research in multiple directions related to feature and channel selection, as well as model interpretability.
1 code implementation • 24 Jan 2022 • Una Pale, Tomas Teijeiro, David Atienza
Yet, most of them have not been tested on the challenging task of epileptic seizure detection, and it stays unclear whether they can increase the HD computing performance to the level of the current state-of-the-art algorithms, such as random forests.
1 code implementation • 16 Nov 2021 • Una Pale, Tomas Teijeiro, David Atienza
At the same time, the total number of sub-classes is not significantly increased compared to the balanced dataset.
no code implementations • 4 May 2021 • Una Pale, Nathan Müller, Adriana Arza, David Atienza
It achieves a detection Gmean accuracy of 94. 9%, 98. 6%, 90. 3%, and 84. 3% for the B, C, X, and O points, respectively.
1 code implementation • 3 May 2021 • Una Pale, Tomas Teijeiro, David Atienza
Furthermore, we evaluate a post-processing strategy to adjust the predictions to the dynamics of epileptic seizures, showing that performance is significantly improved in all the approaches and also that after post-processing, differences in performance are much smaller between approaches.