@inproceedings{dc7fe21c47904ee68c5763ae27b84b69,
title = "Automated sleep data extraction and streaming using Zeo sleep personal manager and Raspberry Pi",
abstract = "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.",
author = "Joshua Haney and Sungkyun Lim and Raymond Chong",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; IEEE SoutheastCon 2017 ; Conference date: 30-03-2017 Through 02-04-2017",
year = "2017",
month = may,
day = "10",
doi = "10.1109/SECON.2017.7925276",
language = "English",
series = "Conference Proceedings - IEEE SOUTHEASTCON",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE SoutheastCon 2017",
address = "United States",
}