The design of a real-time accelerometer-based sleeping position monitoring system and its application on obstructive sleep apnea syndrome

Xu Yao, Guangmin Sun, Wen Yen Lin*, Wen Cheng Chou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

in this paper, we design and present a novel real-time sleeping position monitoring system. The sensing modules composed of 3-axis accelerometers are placed on object's forehead and chest to monitor the object's position during sleeping by calculating the angles between gravity vector and its three axes. System is driven by an inexpensive and low power microcontroller. In this system, we implement a proposed novel CORDIC-based algorithm on the embedded microcontroller so that the system is capable of transferring the raw data of the accelerometer from motion domain to angular domain in-line, and the system can provide the inclination or tilt angle information by itself in real-time. The sleeping position information is integrated into polysomnography (PSG) to cooperate the study of obstructive sleep apnea (OSA) syndrome.

Original languageEnglish
Title of host publication2012 International Conference on Systems and Informatics, ICSAI 2012
Pages1061-1066
Number of pages6
DOIs
StatePublished - 2012
Event2012 International Conference on Systems and Informatics, ICSAI 2012 - Yantai, China
Duration: 19 05 201220 05 2012

Publication series

Name2012 International Conference on Systems and Informatics, ICSAI 2012

Conference

Conference2012 International Conference on Systems and Informatics, ICSAI 2012
Country/TerritoryChina
CityYantai
Period19/05/1220/05/12

Keywords

  • Accelerometer
  • Algorithm
  • Body Position
  • CORDIC
  • Embedded System
  • Obstructive Sleep Apnea
  • Sleep

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