SPaRCNet data: Seizures, Rhythmic and Periodic Patterns in ICU Electroencephalography

Seizures and seizure-like rhythmic and periodic brain activity known as
"ictal-interictal-injury continuum" ( **IIIC** ) patterns are frequently
detected during brain monitoring with electroencephalography (EEG) in patients
with epilepsy or critical illness. Prior efforts to automate detection of IIIC
patterns have been limited by lack of large well-annotated datasets to
train/evaluate algorithms, and there have been only a few attempts to detect
IIIC events other than seizures. The IIIC dataset includes 50,697 labeled EEG
samples from 2,711 patients' and 6,095 EEGs that were annotated by physician
experts from 18 institutions. These samples were used to train **SPaRCNet**
(Seizures, Periodic and Rhythmic Continuum patterns Deep Neural Network), a
computer program that classifies IIIC events with an accuracy matching
clinical experts.

Associated GitHub repositories:

* https://github.com/bdsp-core/IIIC-IRR
* https://github.com/bdsp-core/IIIC-SPaRCNet