ArticleEpilepsia2025
SzCORE: Seizure Community Open-Source Research Evaluation framework for the validation of electroencephalography-based automated seizure detection algorithms.
Article in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed.
- Moving artificial intelligence from research to real-world clinical use in neurology.Nature reviews. Neurology · 2026Review
- A meta-learning method with reduced data requirements for training and updating deep learning models on wearable devices.Communications medicine · 2026Article
- How Much Does the Reduced EEG Montage Matter for Seizure Detection?: A Large-Cohort Simulation Study.medRxiv : the preprint server for health sciences · 2026Article
- PSD-LW-DCN: a generalizable power spectral density based lightweight deep convolutional neural network for seizure detection.Scientific reports · 2026Article
- An Implantable Device that Converses with Patients and Learns to Co-Manage Epilepsy.medRxiv : the preprint server for health sciences · 2026Article
- A transparent AI assurance and benchmarking framework for EEG seizure detection on TUSZ seeded with a reproducible gradient-boosting ensemble.Scientific reports · 2026Article
- Montage-guided fusion network for long-term scalp electroencephalography seizure detection.Frontiers in neuroinformatics · 2026Article
- An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework.NPJ digital medicine · 2025Article
- EEG glasses for real-time brain electrical activity monitoring.Scientific reports · 2025Article
- ICU-EEG Pattern Detection by a Convolutional Neural Network.Annals of clinical and translational neurology · 2025Article
- Article
- Clinical utility of an ambulatory absence seizure detection system.Epilepsia open · 2025Article
- Article
- A Novel Co-Designed Multi-Domain Entropy and Its Dynamic Synapse Classification Approach for EEG Seizure Detection.Entropy (Basel, Switzerland) · 2025Article
- Automated Detection of Epileptic Seizures in EEG Signals via Micro-Capsule Networks.Brain sciences · 2025Article
- Dynamic Graph Convolutional Network with Dilated Convolution for Epilepsy Seizure Detection.Bioengineering (Basel, Switzerland) · 2025Article
- SeizeIT2: Wearable Dataset Of Patients With Focal Epilepsy.Scientific data · 2025Article
- Mathematical modeling of the interaction between endocrine systems and EEG signals.Frontiers in endocrinology · 2025Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
The need for high-quality automated seizure detection algorithms based on electroencephalography (EEG) becomes ever more pressing with the increasing use of ambulatory and long-term EEG monitoring. Heterogeneity in validation methods of these algorithms influences the reported results and makes comprehensive evaluation and comparison challenging. This heterogeneity concerns in particular the choice of datasets, evaluation methodologies, and performance metrics. In this paper, we propose a unified framework designed to establish standardization in the validation of EEG-based seizure detection algorithms. Based on existing guidelines and recommendations, the framework introduces a set of recommendations and standards related to datasets, file formats, EEG data input content, seizure annotation input and output, cross-validation strategies, and performance metrics. We also propose the EEG 10-20 seizure detection benchmark, a machine-learning benchmark based on public datasets converted to a standardized format. This benchmark defines the machine-learning task as well as reporting metrics. We illustrate the use of the benchmark by evaluating a set of existing seizure detection algorithms. The SzCORE (Seizure Community Open-Source Research Evaluation) framework and benchmark are made publicly available along with an open-source software library to facilitate research use, while enabling rigorous evaluation of the clinical significance of the algorithms, fostering a collective effort to more optimally detect seizures to improve the lives of people with epilepsy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.