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| <div class="eyebrow">SenuaLab · EEG · Biomedical AI</div> |
| <h1>Open neurotechnology for reproducible EEG research.</h1> |
| <p class="lead">We build privacy-conscious models, evaluation pipelines, and human-in-the-loop tools that connect EEG research with practical annotation workflows.</p> |
| <nav class="actions" aria-label="SenuaLab resources"> |
| <a class="button" href="https://huggingface.co/SenuaLab/EEG-IED-Detection">Explore our EEG models</a> |
| <a class="button secondary" href="https://github.com/SenuaLab">View SenuaLab on GitHub</a> |
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| <article><h2>EEG IED Detection</h2><p>Subject-independent detection models, reproducible evaluation, and documented model artifacts.</p><a href="https://huggingface.co/SenuaLab/EEG-IED-Detection">Open the model release →</a></article> |
| <article><h2>EEG Annotation Tool</h2><p>Our actively developed review application can install and use the released model packs directly.</p><a href="https://github.com/SenuaLab/EEG-IED-Detection/blob/main/docs/EEGANNOTATIONTOOL.md">Read the integration guide →</a></article> |
| <article><h2>Privacy by design</h2><p>Private hospital recordings, patient identifiers, and patient-level hospital outputs are excluded from public releases.</p><a href="https://github.com/SenuaLab/EEG-IED-Detection/blob/main/docs/PRIVACY.md">Review the privacy boundary →</a></article> |
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| <section class="focus"> |
| <h2>AI & ML interests</h2> |
| <ul class="tags"> |
| <li>EEG signal analysis</li><li>Biomedical time series</li><li>Epilepsy & IED detection</li><li>Self-supervised learning</li><li>Foundation models</li><li>Reproducible deep learning</li><li>Human-in-the-loop AI</li> |
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| <footer>Research software only. Automated candidates require review by a qualified EEG professional and must not be the sole basis for diagnosis or treatment.</footer> |
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