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.

Free, open-source airway analysis for ResMed CPAP/BiPAP data

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/

Sleep Apnea Classification using Deep Learning on ECG Signals

A standalone, high-performance desktop analytics application for in-depth analysis. Now supporting more device models.

A Fuzzy Expert System for AstronoHybrid fuzzy expert system for sleep apnea detection from ECG signals using calibrated ML ensemble and interpretable fuzzy logic (XAI).mical Object Classification Using SDSS Photometric Data

A real-time medical device prototype that uses Deep Learning (TinyML) to detect sleep apnea events from raw ECG signals directly on a microcontroller. This project demonstrates the end-to-end pipeline from training a 1D-CNN in Python to deploying optimized C code on bare-metal hardware.

Audio-based snore and sleep apnea detection on smartphones — two CNN baselines with multi-seed bootstrap validation.

Sleep Apnea Detection with One-Dimensional Convolutional Neural Networks From Single-Lead Electrocardiogram

Deep Learning based Sleep Apnea Detection using ECG Spectrograms and CNN-BiLSTM Architecture

Coordinate Attention for 1D Audio-Based Sleep Apnea Detection — a multi-seed empirical study on smartphone-deployable architectures.

Master MVA - Parsimonious Representations Project

Explainable Machine Learning for ECG-Based Sleep Apnea Detection: Quantifying Cross-Dataset Generalisability

A bilingual (EN/中文) web tool for STOP-BANG Obstructive Sleep Apnea (OSA) risk screening. Zero-dependency static site with privacy-first design.

Public transparency repository for the beyond-AHI hypoxic metrics OSA systematic review and meta-analysis submission package