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

Joshua Haney, Sungkyun Lim, Kwong Yew 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

Fingerprint

Managers
Electroencephalography
Monitoring
Sleep

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, K. Y. 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

Automated sleep data extraction and streaming using Zeo sleep personal manager and Raspberry Pi. / Haney, Joshua; Lim, Sungkyun; Chong, Kwong Yew Raymond.

IEEE SoutheastCon 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7925276 (Conference Proceedings - IEEE SOUTHEASTCON).

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

Haney, J, Lim, S & Chong, KYR 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., IEEE SoutheastCon 2017, Charlotte, United States, 3/30/17. https://doi.org/10.1109/SECON.2017.7925276
Haney J, Lim S, Chong KYR. Automated sleep data extraction and streaming using Zeo sleep personal manager and Raspberry Pi. In IEEE SoutheastCon 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7925276. (Conference Proceedings - IEEE SOUTHEASTCON). https://doi.org/10.1109/SECON.2017.7925276
Haney, Joshua ; Lim, Sungkyun ; Chong, Kwong Yew Raymond. / Automated sleep data extraction and streaming using Zeo sleep personal manager and Raspberry Pi. IEEE SoutheastCon 2017. Institute of Electrical and Electronics Engineers Inc., 2017. (Conference Proceedings - IEEE SOUTHEASTCON).
@inproceedings{e26dbd5565da40da9c4997ec7517e9af,
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 Chong, {Kwong Yew Raymond}",
year = "2017",
month = "5",
day = "10",
doi = "10.1109/SECON.2017.7925276",
language = "English (US)",
series = "Conference Proceedings - IEEE SOUTHEASTCON",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE SoutheastCon 2017",

}

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, Kwong Yew Raymond

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.

ER -