Author

Friederike Seyderhelm

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Predicting Cognitive Impairment from Polysomnography using Graph Neural Networks

A graph neural network (GNN)-based framework that models PSG data as a structured graph, where each physiological channel constitutes a node and functional relationships are encoded as edges, offering untapped potential for early detection of cognitive impairment.

Friederike Seyderhelm, A. Hauschild, Gesa Klukaschewski et al. · 0 citations