Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network
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Updated
Mar 20, 2025 - Python
Toward Sleep Apnea Detection with Lightweight Multi-scaled Fusion Network
Docker Image for Open Source CPAP Analysis Reporter (OSCAR)
😴 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.
A CPAP/BiPAP data visualizer for sleep apnea and UARS.
Tool to import .edf files (particularly from CPAP machines) to influxdb or victoriametrics.
Screening Solution for Obstructive Sleep Apnea.
Repository for the Machine Learning for Smart Health System course offered by Dr. Juber Rahman at Omdena School platform. Join the course here https://omdena.com/omdena-school/
Master MVA - Parsimonious Representations Project
Sleep Apnea Classification using Deep Learning on ECG Signals
📊 An open clinical dataset on AI-assisted Orofacial Myofunctional Therapy for Obstructive Sleep Apnea and Primary Snoring, following FAIR principles.
Sleep Apnea Detection with One-Dimensional Convolutional Neural Networks From Single-Lead Electrocardiogram
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