Sleep Apnea Guardian is an affordable and non-invasive solution to detect sleep apnea using EEG brain signal. We use a comfortable and discreet wearable headband during sleep. When a person stops breathing, their brain responds by sending a certain pattern of signals which our software can detect and provide instant feedback. We also record all the apnea events throughout the night to create a detailed sleep quality report in the morning. With accessibility in mind, we developed a voice assistant using speech recognition to enable full voice control and customization. Affordable, non-invasive, and user-friendly, Sleep Apnea Guardian has great potential to serve high risk populations, relieve stress on the healthcare system, and help everyone get better sleep.

main.py - GUI, flow control and starting point

sim_graph_window.py - active sleep monitoring flow control and data preprocessing

SleepApneaDetect.py - detect apnea and plot live/simulated data

voice_assistant.py - voice recognition and audio instructions

• Python 3.9 or above
• virtualenv
• All requirements within requirements.txt (refer to above for installation)

git clone https://github.com/dreambigzhang/Sleep-Apnea-Guardian.git
cd Sleep-Apnea-Guardian
python3 main.py

Create a virtual environment to install the dependencies:

python -m venv <Environment-Name>  # For example  $ python -m venv python_boiler

Activate the virtual environment and install the dependencies (Platform-Specific):

./<Environment-Name>/Scripts/activate  # ./python_boiler/Scripts/activate
pip install -r requirements.txt

./<Environment-Name>/bin/activate  # ./python_boiler/Scripts/activate
pip install -r requirements.txt

./<Environment-Name>/Scripts/Activate.ps1
pip install -r requirements.txt