Seizure Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

8 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 42 papers with code (175 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
  18 Dec 2016 5 repositories listed
  Near-sensor data analytics is a promising direction for IoT endpoints, as it minimizes energy spent on communication and reduces network load - but it also poses security concerns, as valuable data is stored or sent…
• SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms
  20 Feb 2024 3 repositories listed
  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,…
• SeizureNet: Multi-Spectral Deep Feature Learning for Seizure Type Classification
  8 Mar 2019 3 repositories listed
  Automatic classification of epileptic seizure types in electroencephalograms (EEGs) data can enable more precise diagnosis and efficient management of the disease.
• Time series saliency maps: explaining models across multiple domains
  19 May 2025 2 repositories listed
  These results demonstrate the ability of cross-domain integrated gradients to provide semantically meaningful insights in time-series models that are impossible with traditional time-domain saliency.
• VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG
  24 Nov 2023 2 repositories listed
  An accurate and efficient epileptic seizure onset detection can significantly benefit patients.
• An Open-source Toolbox for Analysing and Processing PhysioNet Databases in MATLAB and Octave
  24 Sep 2014 2 repositories listed
  The WaveForm DataBase (WFDB) Toolbox for MATLAB/Octave enables integrated access to PhysioNet's software and databases.
• DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding
  26 Jun 2025 1 repository listed
  It integrates a temporal Conformer to model long-range temporal dependencies and a spatial Conformer to extract inter-channel interactions, capturing both temporal dynamics and spatial patterns in EEG signals.
• A foundation model with multi-variate parallel attention to generate neuronal activity
  25 Jun 2025 1 repository listed
  Together, our contributions establish MVPA as a general-purpose attention mechanism for heterogeneous time-series and MVPFormer as the first open-source, open-weights, and open-data iEEG foundation model with…
• The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy Detection
  24 Apr 2025 1 repository listed
  Epilepsy, affecting approximately 50 million people globally, is characterized by abnormal brain activity and remains challenging to treat.
• SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG Recordings
  1 Apr 2025 1 repository listed
  Epilepsy is a common neurological disorder that affects around 65 million people worldwide.
• The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
  10 Feb 2025 1 repository listed Syntology ran 0 of 8 samples · 8 unverified
  BrainCodec also achieves up to a 64x compression on iEEG and EEG without a notable decrease in quality.
• SeizeIT2: Wearable Dataset Of Patients With Focal Epilepsy
  3 Feb 2025 1 repository listed
  The increasing technological advancements towards miniaturized physiological measuring devices have enabled continuous monitoring of epileptic patients outside of specialized environments.
• Residual and bidirectional LSTM for epileptic seizure detection
  17 Jun 2024 1 repository listed
  The ResBiLSTM model achieves epileptic seizure detection accuracy rates of 98.
• Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection
  4 Jun 2024 1 repository listed
  In this work, a novel explainable deep learning model to automate the neonatal seizure detection process with a reduced EEG montage is proposed, which employs convolutional nets, graph attention layers, and fully…
• Learning Robust Representations of Tonic-Clonic Seizures With Cyclic Transformer
  1 Jun 2024 1 repository listed
  This showcases the effectiveness of the cyclic transformer in multimodal TCSs detection, offering a promising approach for enhancing the accuracy and robustness of seizure detection systems while mitigating the risks…
• Deep Latent Variable Modeling of Physiological Signals
  29 May 2024 1 repository listed
  A deep latent variable model is a powerful method for capturing complex distributions.
• Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems
  9 May 2024 1 repository listed
  However, enabling learning from distributed data over such edge Internet of Things (IoT) systems (e.
• Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data
  8 May 2024 1 repository listed
  This paper introduces NeuroGNN, a dynamic Graph Neural Network (GNN) framework that captures the dynamic interplay between the EEG electrode locations and the semantics of their corresponding brain regions.
• LightFF: Lightweight Inference for Forward-Forward Algorithm
  8 Apr 2024 1 repository listed
  The human brain performs tasks with an outstanding energy efficiency, i.
• BIOT: Cross-data Biosignal Learning in the Wild
  10 May 2023 1 repository listed
  Comprehensive evaluations on EEG, electrocardiogram (ECG), and human activity sensory signals demonstrate that \method outperforms robust baselines in common settings and facilitates learning across multiple datasets…
• Towards Interpretable Seizure Detection Using Wearables
  5 May 2023 1 repository listed
  Seizure detection using machine learning is a critical problem for the timely intervention and management of epilepsy.
• ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges
  26 Apr 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Patient-independent detection of epileptic activities based on visual spectral representation of continuous EEG (cEEG) has been widely used for diagnosing epilepsy.
• ManyDG: Many-domain Generalization for Healthcare Applications
  21 Jan 2023 1 repository listed Syntology ran 14 of 22 samples · 8 unverified · 22 pointer-only (licence)
  Extensive experiments show that ManyDG can boost the generalization performance on multiple real-world healthcare tasks (e.
• Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models
  21 Nov 2022 1 repository listed Syntology ran 3 of 12 samples · 9 unverified
  Multivariate biosignals are prevalent in many medical domains, such as electroencephalography, polysomnography, and electrocardiography.
• Avoiding Post-Processing with Event-Based Detection in Biomedical Signals
  22 Sep 2022 1 repository listed
  Methods: We propose an event-based modeling framework that directly works with events as learning targets, stepping away from ad-hoc post-processing schemes to turn model outputs into events.
• TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring
  22 Jul 2022 1 repository listed
  We show that our sequential mistrust scores achieve high drift detection rates; over 90% of the streams show < 20% error for all domains.
• Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks
  20 Jun 2022 1 repository listed
  During the past two decades, epileptic seizure detection and prediction algorithms have evolved rapidly.
• MICAL: Mutual Information-Based CNN-Aided Learned Factor
  6 Jun 2022 1 repository listed
  Since the soft estimates obtained as the combined features from the neural MI estimator and the CNN do not capture the temporal correlation between different EEG blocks, we use them not as estimates of the seizure…
• Ensemble learning using individual neonatal data for seizure detection
  11 Apr 2022 1 repository listed
  The weighted mean aggregation scheme showed best performance, it was only marginally outperformed by the Dawid--Skene method when local detectors approach performance of a single detector trained on all available data.
• Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection
  24 Jan 2022 1 repository listed
  Yet, most of them have not been tested on the challenging task of epileptic seizure detection, and it stays unclear whether they can increase the HD computing performance to the level of the current state-of-the-art…

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.