#seizure-detection News & Analysis

2 articles tagged with #seizure-detection. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 237/10

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From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks

A comprehensive review examines how Kolmogorov-Arnold Networks (KANs) can overcome critical limitations in deep learning-based EEG seizure detection, offering improved interpretability, parameter efficiency, and performance under data scarcity constraints. The research positions KANs as a paradigm shift necessary for deploying transparent, clinically viable seizure detection systems in wearable and implantable neuromodulation devices.

AINeutralarXiv – CS AI · May 16/10

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LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis

Researchers propose using large language models as graph structure refiners to improve EEG-based seizure detection by identifying and removing redundant connections in noisy neural signal data. A two-stage framework combining Transformer-based edge prediction with LLM validation demonstrates improved accuracy and more interpretable graph representations on the TUSZ dataset.