| --- |
| title: SenuaLab |
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| <div align="center"> |
|
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| # SenuaLab |
|
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| ### Open neurotechnology for reproducible EEG research |
|
|
| [](https://huggingface.co/SenuaLab/models) |
| [](https://github.com/SenuaLab) |
| [](#responsible-use) |
|
|
| </div> |
|
|
| We develop open and reproducible machine-learning systems for EEG and other |
| biomedical time series. Our work connects signal processing, deep learning, |
| careful evaluation, and human-in-the-loop review so that research artifacts can |
| move cleanly from experiments into practical annotation workflows. |
|
|
| ## Research focus |
|
|
| - EEG and biomedical time-series analysis |
| - Epilepsy research and interictal epileptiform discharge (IED) detection |
| - Self-supervised learning and foundation models for neural signals |
| - Subject-independent evaluation, calibration, and reproducible deep learning |
| - Privacy-conscious clinical AI and human-in-the-loop annotation tools |
|
|
| ## Featured work |
|
|
| | Resource | What it provides | |
| |---|---| |
| | [EEG IED Detection models](https://huggingface.co/SenuaLab/EEG-IED-Detection) | Five supported checkpoints, model metadata, aggregate public-benchmark results, and an EEG Annotation Tool model pack | |
| | [EEG IED Detection source](https://github.com/SenuaLab/EEG-IED-Detection) | Leakage-safe training and evaluation pipelines, reproducibility documentation, privacy checks, and inference utilities | |
| | [EEG Annotation Tool integration](https://github.com/SenuaLab/EEG-IED-Detection/blob/main/docs/EEGANNOTATIONTOOL.md) | Our actively developed EEG review and annotation application, with direct support for installing and using the released models | |
|
|
| ## From models to annotation |
|
|
| Models released through our Hugging Face organization can be installed directly |
| into **EEG Annotation Tool**. The integration preserves each model's declared |
| channel order, sampling rate, preprocessing contract, input window, and |
| validation-selected operating threshold while keeping a qualified reviewer in |
| the loop. |
|
|
| ## Data and privacy |
|
|
| We do **not** publish private hospital EEG recordings, patient identifiers, |
| physician annotations, or patient-level hospital outputs. Public releases are |
| limited to approved source code, model artifacts, public-dataset references, |
| reproducibility metadata, and aggregate public-benchmark results. Dataset and |
| third-party model licenses remain with their original owners and are documented |
| per release. |
|
|
| ## Responsible use |
|
|
| Our current EEG releases are research software, not medical devices. Automated |
| candidates must not be used as the sole basis for diagnosis or treatment and |
| must be reviewed by a qualified EEG professional against the original |
| recording. |
|
|
| ## Connect |
|
|
| - [Hugging Face models](https://huggingface.co/SenuaLab/models) |
| - [GitHub organization](https://github.com/SenuaLab) |
| - [EEG IED Detection documentation](https://github.com/SenuaLab/EEG-IED-Detection#readme) |
| - [EEG Annotation Tool integration guide](https://github.com/SenuaLab/EEG-IED-Detection/blob/main/docs/EEGANNOTATIONTOOL.md) |
|
|
