<scp>ICU</scp> ‐ <scp>EEG</scp> Pattern Detection by a Convolutional Neural Network

This study presents a lightweight CNN model capable of detecting critical EEG patterns in ICU patients with minimal preprocessing. Moreover, the model's design provides reliable detection of ICU-EEG epileptic patterns shortly after their onset. These features underscore the model's potential to enhance timely EEG monitoring in resource-limited and advanced clinical contexts.

Authors

Hervé Quintard (ORCID: https://orcid.org/0000-0002-3870-6370)
Pia De Stefano (ORCID: https://orcid.org/0000-0002-7979-0994)
Giulio Degano (ORCID: https://orcid.org/0000-0003-1540-780X)
Oana E. Sarbu
Andreas Kleinschmidt (ORCID: https://orcid.org/0000-0002-8094-0830)
Nikita Francini

Institutions

University Hospital of Geneva (CH)

Publication Details

Journal: Annals of Clinical and Translational Neurology
Published: 2025-08-08
DOI: https://doi.org/10.1002/acn3.70164
Citations: 3
Primary Topic: EEG and Brain-Computer Interfaces
Type: article
Field-Weighted Citation Impact: 4.29

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article

ICU ‐ EEG Pattern Detection by a Convolutional Neural Network

Hervé Quintard, Pia De Stefano, Giulio Degano, Oana E. Sarbu et al.

Aug 8, 2025

3 citations

Annals of Clinical and Translational Neurology

EEG and Brain-Computer Interfaces

4.29

article

ICU ‐ EEG Pattern Detection by a Convolutional Neural Network

Hervé Quintard, Pia De Stefano, Giulio Degano, Oana E. Sarbu, Andreas Kleinschmidt, Nikita Francini

August 8, 2025article en

3 citations

Abstract

This study presents a lightweight CNN model capable of detecting critical EEG patterns in ICU patients with minimal preprocessing. Moreover, the model's design provides reliable detection of ICU-EEG epileptic patterns shortly after their onset. These features underscore the model's potential to enhance timely EEG monitoring in resource-limited and advanced clinical contexts.

Annals of Clinical and Translational NeurologyVol. 12(11)

University Hospital of Geneva (CH)

Openalex Percentile: Top 6%

EEG and Brain-Computer Interfaces

4.29

DOI Open Access PDF OpenAlex

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