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sleep-apnea

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😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.

  • Updated Jul 10, 2026
  • Jupyter Notebook

Comprehensive 2026 research synthesis on somnology, exploring sleep-wake neurobiology, the glymphatic system, the microbiota-gut-brain axis, and emerging therapeutics like DORAs and hypoglossal nerve stimulation for sleep disorders.

  • Updated Jun 2, 2026

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