Source code for the deep learning models employed in OSAS study
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Updated
Feb 9, 2023 - Jupyter Notebook
Source code for the deep learning models employed in OSAS study
Tool to import .edf files (particularly from CPAP machines) to influxdb or victoriametrics.
Sleep Apnea Classification using Deep Learning on ECG Signals
Timers that work for many different sports
Apnoe detection software for data from Brainscope, EASYS2
A simple Apple Watch app to train your apnea and monitor your progress.
R library and scripts to process sleep data for clustering
Help APnea divers to optimize their gear (balLAST, suit)
A place to view PAP data privately
Analyse ResMed CPAP/APAP SD-card EDF data: quality-gated segmented efficacy statistics, breath-by-breath flow-waveform analysis, pressure-headroom curves. Local, offline, not a medical device.
Unofficial open-source app (Android + iOS) for the eFugu freediving pressure equalization trainer: multi-device BLE, calibration, exercises, and pressure-controlled games.
Simple web application to facilitate dry apnea training using breath tables.
A deep learning-based system for automatic detection of sleep apnea from ECG signals using a hybrid 1D CNN-BiLSTM architecture with an attention mechanism. Achieves high accuracy with minimal preprocessing, making it suitable for real-time, portable diagnostic applications.
Breath-hold trainer for Windows and Android that times static apnea holds and builds CO₂/O₂ training tables from your personal best. Fully offline with local SQLite storage, QR-paired LAN sync between devices. Built with Flutter, Dart, Riverpod, and Drift.
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