mlsanityData to 14 Oct 2026

Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling

arXiv 2307.05382 ↗First posted 2 Jul 2023eess.SP cs.AI cs.LGcited by 4

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Abstract (arXiv)

A timely detection of seizures for newborn infants with electroencephalogram (EEG) has been a common yet life-saving practice in the Neonatal Intensive Care Unit (NICU). However, it requires great human efforts for real-time monitoring, which calls for automated solutions to neonatal seizure detection. Moreover, the current automated methods focusing on adult epilepsy monitoring often fail due to (i) dynamic seizure onset location in human brains; (ii) different montages on neonates and (iii) huge distribution shift among different subjects. In this paper, we propose a deep learning framework, namely STATENet, to address the exclusive challenges with exquisite designs at the temporal, spatial and model levels. The experiments over the real-world large-scale neonatal EEG dataset illustrate that our framework achieves significantly better seizure detection performance.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 12 of its 32 references that are in the map. First posted on arXiv 2 Jul 2023.

Builds on

12 of 32 references.

References · 12

  1. 2017Graph Attention Networkscited by 8,923
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  8. 2021Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysiscited by 76
  9. 2023Towards Inference Efficient Deep Ensemble Learningcited by 11
  10. 2017Neonatal Seizure Detection using Convolutional Neural Networkscited by 6
  11. 2020Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecastingcited by 5
  12. 2021Deep Learning for EEG Seizure Detection in Preterm Infantscited by 1

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Cited by year

Citing papers per year: 2024: 3; 2025: 1.

4 papers.

  1. 2024EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Modelcited by 52
  2. 2025CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attentioncited by 14
  3. 2024Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detectioncited by 0
  4. 2024Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classificationcited by 0