Automated sleep data extraction and streaming using Zeo sleep personal manager and Raspberry Pi

This paper presents an automated sleep data streaming system using a commercial electroencephalography (EEG) sleep monitoring device. The code collects data generated by the device on 30 second intervals and stores them into a text file that is sent to a desired recipient after a full night of sleep. The system is designed to be used easily for subjects with Parkinson's disease as a one-step solution. Once the system is set up, it automatically streams the data continuously without user input. The system was tested and verified showing a complete night worth of data. The final design is inexpensive and easy to implement.