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arXiv Open Access 2018

The Temple University Hospital Seizure Detection Corpus

Vinit Shah Eva von Weltin Silvia Lopez James Riley McHugh Lily Veloso +3 lainnya
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Abstrak

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.

Topik & Kata Kunci

q-bio.QM eess.SP q-bio.NC stat.ML

Penulis (8)

V

Vinit Shah

E

Eva von Weltin

S

Silvia Lopez

J

James Riley McHugh

L

Lily Veloso

M

Meysam Golmohammadi

I

Iyad Obeid

J

Joseph Picone

Format Sitasi

APA MLA BibTeX
Shah, V., Weltin, E.v., Lopez, S., McHugh, J.R., Veloso, L., Golmohammadi, M. et al. (2018). The Temple University Hospital Seizure Detection Corpus. https://arxiv.org/abs/1801.08085

Akses Cepat

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Informasi Jurnal
Tahun Terbit
2018
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓