From the 1 of 3 linked papers with an AI index.
3 papers
Detecting seizure onset and offset times using human intelligence: A critical-transitions-based approach
Andrew Flynn, Cian McCafferty, Klaus Lehnertz +4
The paper presents a seizure detection algorithm based on critical transition theory that accurately identifies seizure onset and offset times in rodent voltage recordings, achievi…
Neonatal Hypoxic-ischaemic Encephalopathy Classification from the EEG and HRV Signals Using a Conformer based Masked Autoencoder
Shuwen Yu, William P Marnane, Geraldine B. Boylan +1
In this paper, we propose the MAEConformer, a novel self-supervised learning framework that combines the Conformer architecture with the Masked Autoencoder (MAE) paradigm for large…
HRVConformer: Neonatal Hypoxic-Ischemic Encephalopathy Classification from the Heart Rate signals
Shuwen Yu, William P Marnane, Geraldine B. Boylan +1
This paper presents the HRVConformer, a novel deep learning architecture for the classification of hypoxic-ischemic encephalopathy (HIE) using the instantaneous heart rate (HR) sig…