The Temple University Hospital Seizure Detection Corpus
Vinit Shah, Eva von Weltin, Silvia Lopez, James Riley McHugh, Lily, Veloso, Meysam Golmohammadi, Iyad Obeid, Joseph Picone
TL;DR
The paper introduces the TUH EEG Seizure Corpus, the largest open source dataset of its kind, detailing its development, evaluation, and statistical analysis for seizure detection research.
Contribution
It presents the creation and characterization of the largest open source EEG seizure dataset, enabling improved research and development in seizure detection.
Findings
TUSZ is the largest open source seizure EEG dataset.
The paper evaluates techniques used to develop TUSZ.
Descriptive statistics of the corpus are provided.
Abstract
We introduce the TUH EEG Seizure Corpus (TUSZ), which is the largest open source corpus of its type, and represents an accurate characterization of clinical conditions. In this paper, we describe the techniques used to develop TUSZ, evaluate their effectiveness, and present some descriptive statistics on the resulting corpus.
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