The Temple University Hospital Seizure Detection Corpus
classification
🧬 q-bio.QM
eess.SPq-bio.NCstat.ML
keywords
corpusseizuretuszaccuratecharacterizationclinicalconditionsdescribe
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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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