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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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<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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