TY - GEN
T1 - Automated sleep data extraction and streaming using Zeo sleep personal manager and Raspberry Pi
AU - Haney, Joshua
AU - Lim, Sungkyun
AU - Chong, Raymond
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/5/10
Y1 - 2017/5/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85019681395&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019681395&partnerID=8YFLogxK
U2 - 10.1109/SECON.2017.7925276
DO - 10.1109/SECON.2017.7925276
M3 - Conference contribution
AN - SCOPUS:85019681395
T3 - Conference Proceedings - IEEE SOUTHEASTCON
BT - IEEE SoutheastCon 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE SoutheastCon 2017
Y2 - 30 March 2017 through 2 April 2017
ER -