Electrocardiogram-driven depth of anesthesia monitoring: leveraging autonomic signatures and graph neural networks for low-cost, accurate identification
Precise assessment of anesthetic depth is essential for guaranteeing patient safety and optimal medication delivery during surgical interventions. This article presents a framework based on Graph Neural Networks (GNN) for the automatic categorization of anesthesia depth utilizing electrocardiogram (...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
PeerJ Inc.
2026-07-01
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| سلاسل: | PeerJ Computer Science |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://peerj.com/articles/cs-3999.pdf |
| الوسوم: |
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