mlsanityData to 7 Oct 2026

Automated Video-EEG Analysis in Epilepsy Studies: Advances and Challenges

arXiv 2503.19949 ↗First posted 25 Mar 2025eess.IV cs.LGcited by 0

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Abstract (arXiv)

Epilepsy is typically diagnosed through electroencephalography (EEG) and long-term video-EEG (vEEG) monitoring. The manual analysis of vEEG recordings is time-consuming, necessitating automated tools for seizure detection. Recent advancements in machine learning have shown promise in real-time seizure detection and prediction using EEG and video data. However, diversity of seizure symptoms, markup ambiguities, and limited availability of multimodal datasets hinder progress. This paper reviews the latest developments in automated video-EEG analysis and discusses the integration of multimodal data. We also propose a novel pipeline for treatment effect estimation from vEEG data using concept-based learning, offering a pathway for future research in this domain.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 22 of its 266 references that are in the map. First posted on arXiv 25 Mar 2025.

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References · 22

  1. 2017Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learningcited by 475
  2. 2023Multimodal Foundation Models: From Specialists to General-Purpose Assistantscited by 247
  3. 2023Concept-based Explainable Artificial Intelligence: A Surveycited by 97
  4. 2024EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Modelcited by 51
  5. 2018One-shot Learning for iEEG Seizure Detection Using End-to-end Binary Operations: Local Binary Patterns with Hyperdimensional Computingcited by 14
  6. 2024Canine EEG Helps Human: Cross-Species and Cross-Modality Epileptic Seizure Detection via Multi-Space Alignmentcited by 10
  7. 2022Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Settingcited by 8
  8. 2023Concept-based explainability for an EEG transformer modelcited by 8
  9. 2023Deep Learning Approaches for Seizure Video Analysis: A Reviewcited by 6
  10. 2022Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizurescited by 5
  11. 2023VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViGcited by 5
  12. 2024EEG-based Multimodal Representation Learning for Emotion Recognitioncited by 5
10 more
  1. 2020Non-Gaussianity Detection of EEG Signals Based on a Multivariate Scale Mixture Model for Diagnosis of Epileptic Seizurescited by 3
  2. 2024Generating Survival Interpretable Trajectories and Datacited by 3
  3. 2024Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learningcited by 3
  4. 2023Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Predictioncited by 2
  5. 2022EEG Opto-processor: epileptic seizure detection using diffractive photonic computing unitscited by 2
  6. 2024Concept-based Explainable Malignancy Scoring on Pulmonary Nodules in CT Imagescited by 2
  7. 2024Preictal Period Optimization for Deep Learning-Based Epileptic Seizure Predictioncited by 2
  8. 2022Seeing your sleep stage: cross-modal distillation from EEG to infrared videocited by 1
  9. 2024FI-CBL: A Probabilistic Method for Concept-Based Learning with Expert Rulescited by 1
  10. 2024RRAM-Based Bio-Inspired Circuits for Mobile Epileptic Correlation Extraction and Seizure Predictioncited by 1

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