42 citations · 114 across the 10 of their papers we have counts for
10 papers
Evaluation of EEG Foundation Models for Event-Based Burst-Suppression Detection in ICU
Elisa Vasta, Thorir Mar Ingolfsson, Andrea Cossettini +4
Burst suppression (BS) is a clinically relevant electroencephalographic (EEG) pattern used to monitor sedation depth and brain activity in critically ill patients, particularly dur…
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
Jonathan Dan, Una Pale, Alireza Amirshahi +9
The need for high-quality automated seizure detection algorithms based on electroencephalography (EEG) becomes ever more pressing with the increasing use of ambulatory and long-ter…
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing
Una Pale, Tomas Teijeiro, David Atienza
Epilepsy is a chronic neurological disorder with a significant prevalence. However, there is still no adequate technological support to enable epilepsy detection and continuous out…
Importance of methodological choices in data manipulation for validating epileptic seizure detection models
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. Despite advances in…
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration
William Andrew Simon, Una Pale, Tomas Teijeiro +1
HyperDimensional Computing (HDC) as a machine learning paradigm is highly interesting for applications involving continuous, semi-supervised learning for long-term monitoring. Howe…
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection
Una Pale, Tomas Teijeiro, David Atienza
The healthcare landscape is moving from the reactive interventions focused on symptoms treatment to a more proactive prevention, from one-size-fits-all to personalized medicine, an…
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection
Una Pale, Tomas Teijeiro, David Atienza
Wearable and unobtrusive monitoring and prediction of epileptic seizures has the potential to significantly increase the life quality of patients, but is still an unreached goal du…
Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection
Una Pale, Tomas Teijeiro, David Atienza
Long-term monitoring of patients with epilepsy presents a challenging problem from the engineering perspective of real-time detection and wearable devices design. It requires new s…
ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm
Una Pale, Nathan Müller, Adriana Arza +1
This work presents ReBeatICG, a real-time, low-complexity beat-to-beat impedance cardiography (ICG) delineation algorithm that allows hemodynamic parameters monitoring. The propose…
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection
Una Pale, Tomas Teijeiro, David Atienza
Hyperdimensional computing is a promising novel paradigm for low-power embedded machine learning. It has been applied on different biomedical applications, and particularly on epil…