English

The Temple University Hospital Seizure Detection Corpus

Quantitative Methods 2018-01-25 v1 Signal Processing Neurons and Cognition Machine Learning
Authors: Vinit Shah , Eva von Weltin , Silvia Lopez , James Riley McHugh , Lily Veloso , Meysam Golmohammadi , Iyad Obeid , Joseph Picone
View on arXiv ↗ PDF ↗

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.

Keywords

eeg seizure corpus tuh hospital open source corpus clinical characterization descriptive statistics

Cite

@article{arxiv.1801.08085,
  title  = {The Temple University Hospital Seizure Detection Corpus},
  author = {Vinit Shah and Eva von Weltin and Silvia Lopez and James Riley McHugh and Lily Veloso and Meysam Golmohammadi and Iyad Obeid and Joseph Picone},
  journal= {arXiv preprint arXiv:1801.08085},
  year   = {2018}
}

Comments

Under review in Frontiers in Neuroscience

Related papers

View all related →
Signal Processing · Electrical Eng. & Systems
Wavelet-Based Multi-Class Seizure Type Classification System
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta
2022-06-09
Machine Learning · Computer Science
Deep Architectures for Automated Seizure Detection in Scalp EEGs
Meysam Golmohammadi, Saeedeh Ziyabari, Vinit Shah, Silvia Lopez de Diego +2
2017-12-29
Machine Learning · Computer Science
PySeizure: A single machine learning classifier framework to detect seizures in diverse datasets
Bartlomiej Chybowski, Shima Abdullateef, Hollan Haule, Alfredo Gonzalez-Sulser +1
2025-08-12
Machine Learning · Computer Science
Seizure Type Classification using EEG signals and Machine Learning: Setting a benchmark
Subhrajit Roy, Umar Asif, Jianbin Tang, Stefan Harrer
2020-08-13
Signal Processing · Electrical Eng. & Systems
Electroencephalographic Slowing: A Source of Error in Automatic Seizure Detection
Eva von Weltin, Tameem Ahsan, Vinit Shah, Dawer Jamshed +3
2018-01-09
Machine Learning · Computer Science
Automatic Analysis of EEGs Using Big Data and Hybrid Deep Learning Architectures
Meysam Golmohammadi, Amir Hossein Harati Nejad Torbati, Silvia Lopez de Diego, Iyad Obeid +1
2017-12-29
Signal Processing · Electrical Eng. & Systems
SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
Jonathan Dan, Una Pale, Alireza Amirshahi, William Cappelletti +8
2024-09-24
Signal Processing · Electrical Eng. & Systems
Neural Memory Networks for Seizure Type Classification
David Ahmedt-Aristizabal, Tharindu Fernando, Simon Denman, Lars Petersson +2
2024-03-06
Machine Learning · Computer Science
A Unified Framework for EEG Seizure Detection Using Universum-Integrated Generalized Eigenvalues Proximal Support Vector Machine
Yogesh Kumar, Vrushank Ahire, M. A. Ganaie
2025-12-25
Machine Learning · Computer Science
BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring
Luca Benfenati, Thorir Mar Ingolfsson, Andrea Cossettini, Daniele Jahier Pagliari +2
2024-06-28
Signal Processing · Electrical Eng. & Systems
A Meta-GNN approach to personalized seizure detection and classification
Abdellah Rahmani, Arun Venkitaraman, Pascal Frossard
2023-03-21
Machine Learning · Computer Science
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting
Kwanhyung Lee, Hyewon Jeong, Seyun Kim, Donghwa Yang +2
2022-03-22
Machine Learning · Computer Science
SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification
Umar Asif, Subhrajit Roy, Jianbin Tang, Stefan Harrer
2020-10-01
Signal Processing · Electrical Eng. & Systems
Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm
Scot Davidson, Niamh McCallan, Kok Yew Ng, Pardis Biglarbeigi +3
2022-08-22
Populations and Evolution · Quantitative Biology
Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm
Niamh McCallan, Scot Davidson, Kok Yew Ng, Pardis Biglarbeigi +3
2022-02-21
Signal Processing · Electrical Eng. & Systems
Energy-Efficient Tree-Based EEG Artifact Detection
Thorir Mar Ingolfsson, Andrea Cossettini, Simone Benatti, Luca Benini
2022-04-21
Machine Learning · Computer Science
Objective evaluation metrics for automatic classification of EEG events
Saeedeh Ziyabari, Vinit Shah, Meysam Golmohammadi, Iyad Obeid +1
2019-12-03
Signal Processing · Electrical Eng. & Systems
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection
Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu +2
2020-02-04
Machine Learning · Computer Science
LookAroundNet: Extending Temporal Context with Transformers for Clinically Viable EEG Seizure Detection
Þór Sverrisson, Steinn Guðmundsson
2026-01-12
Machine Learning · Computer Science
Long-Term EEG Partitioning for Seizure Onset Detection
Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng Sun
2025-03-04
Signal Processing · Electrical Eng. & Systems
Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies
Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars, Parisa Moridian +6
2021-12-08
Computation and Language · Computer Science
The Multilingual TEDx Corpus for Speech Recognition and Translation
Elizabeth Salesky, Matthew Wiesner, Jacob Bremerman, Roldano Cattoni +4
2021-06-16
Signal Processing · Electrical Eng. & Systems
Open and free EEG datasets for epilepsy diagnosis
Palak Handa, Monika Mathur, Nidhi Goel
2021-08-03
Signal Processing · Electrical Eng. & Systems
Quantifying the Generalization Gap in Seizure Detection: A Large-Scale Empirical Benchmark via the SzCORE Challenge
Jonathan Dan, Amirhossein Shahbazinia, Christodoulos Kechris, David Atienza
2026-05-20
Signal Processing · Electrical Eng. & Systems
MP-SeizNet: A Multi-Path CNN Bi-LSTM Network for Seizure-Type Classification Using EEG
Hezam Albaqami, Ghulam Mubashar Hassan, Amitava Datta
2023-03-09