Sleep quality analyzer using nrf5340-DK

This is a work-in-progress project. I will be updating the work as soon as progress is made.

Project end goal:

Analyze sleep quality by continuously monitoring heart rate, oxygen saturation, movements, and snoring patterns and make this data available in a Bluetooth mobile application.

Stages:

• Capture live audio on the nrf5340-DK using a MEMS microphone (SPW2430), and classify it as snoring or no-snoring on the board
• Capture heart rate and oxygen saturation using a pulse oximetry and heart- rate monitor sensor (MAX30100)
• Capture body movements using an accelerometer sensor (ADX345)
• Develop a mobile app to display the above data send from the nrf5340-DK via Bluetooth

Design of NN for snoring classification

• Platform used for training and neural network model conversion: Edge Impulse
• Neural Network used: Depthwise separable convolution based network

• Dataset used for training: Snoring data from AudioSet project of google (https://research.google.com/audioset/dataset/snoring.html)
• Adapted the edge-impulse wrapper code provided by Edge impulse to run the neural network on the nrf5340-DK (https://docs.edgeimpulse.com/docs/running-your-impulse-locally-zephyr)

Bluetooth mobile app to display data send from nrf5340-DK

• Developed using MIT App Inventor

• Adapted the peripheral_hr sample project provided by zephyr to send data to Bluetooth app. (https://developer.nordicsemi.com/nRF_Connect_SDK/doc/latest/zephyr/samples/bluetooth/peripheral_hr/README.html#peripheral-hr)

Hardware interfacing (MAX30100, SPW2430, ADX345) is in progress

Analysis of power used and further optimizations need to be done after the completion of hardware interfacing.