Explainable AI for EEG Biomarkers Identification in Obstructive Sleep Apnea Severity Scoring Task-Reference-Cited by-同舟云学术

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Explainable AI for EEG Biomarkers Identification in Obstructive Sleep Apnea Severity Scoring Task

Published:2023-04-24 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)
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Author:

Fiscal Luca La¹,Jennebauffe Celiane¹,Bruyneel Marie²,Ris Laurence³,Lefebvre Laurent⁴,Siebert Xavier⁵,Gosselin Bernard¹

Affiliation:

1. University of Mons,Department of Information Signal and Artificial Intelligence,Belgium

2. CHU Saint-Pierre,Department of Pneumology,Brussels,Belgium

3. University of Mons,Department of Neuroscience,Belgium

4. University of Mons,Department of Cognitive Psychology and Neuropsychology,Belgium

5. University of Mons,Department of Mathematics and Operational Research,Belgium

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10123380/10123710/10123795.pdf?arnumber=10123795

Reference15 articles.

1. Novel parameters indicate significant differences in severity of obstructive sleep apnea with patients having similar apnea–hypopnea index

2. Adversarial Variational Embedding for Robust Semi-supervised Learning

3. Regional Reductions in Sleep Electroencephalography Power in Obstructive Sleep Apnea: A High-Density EEG Study

4. The Impact of Body Posture and Sleep Stages on Sleep Apnea Severity in Adults

5. Uncovering the structure of clinical EEG signals with self-supervised learning

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1. Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures;2024-03-21

2. Identifying EEG Biomarkers of Depression with Novel Explainable Deep Learning Architectures;Communications in Computer and Information Science;2024

3. Explainable AI for Discovering Disease Biomarkers: A Survey;EAI/Springer Innovations in Communication and Computing;2024

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