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

Joshua Haney, Sungkyun Lim, Raymond Chong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationIEEE SoutheastCon 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538615393
DOIs
StatePublished - May 10 2017
EventIEEE SoutheastCon 2017 - Charlotte, United States
Duration: Mar 30 2017Apr 2 2017

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
ISSN (Print)0734-7502

Other

OtherIEEE SoutheastCon 2017
CountryUnited States
CityCharlotte
Period3/30/174/2/17

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ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Signal Processing

Cite this

Haney, J., Lim, S., & Chong, R. (2017). Automated sleep data extraction and streaming using Zeo sleep personal manager and Raspberry Pi. In IEEE SoutheastCon 2017 [7925276] (Conference Proceedings - IEEE SOUTHEASTCON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SECON.2017.7925276