Realization of a CORDIC-Based Plug-In Accelerometer Module for PSG System in Head Position Monitoring for OSAS Patients

Wen Yen Lin, Wen Cheng Chou, Tsu Hui Shiao, Guang Ming Shiao, Chin Shan Luo, Ming Yih Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Overnight polysomnography (PSG) is currently the standard diagnostic procedure for obstructive sleep apnea (OSA). It has been known that monitoring of head position in sleep is crucial not only for the diagnosis (positional sleep apnea) but also for the management of OSA (positional therapy). However, there are no sensor systems available clinically to hook up with PSG for accurate head position monitoring. In this paper, an accelerometer-based sensing system for accurate head position monitoring is developed and realized. The core CORDIC- (COordinate Rotation DIgital Computer-) based tilting sensing algorithm is realized in the system to quickly and accurately convert accelerometer raw data into the desired head position tilting angles. The system can hook up with PSG devices for diagnosis to have head position information integrated with other PSG-monitored signals. It has been applied in an IRB test in Taipei Veterans General Hospital and has been proved that it can meet the medical needs of accurate head position monitoring for PSG diagnosis.

Original languageEnglish
Article number4728187
JournalJournal of Healthcare Engineering
Volume2017
DOIs
Publication statusPublished - Jan 1 2017

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Polysomnography
Physiologic Monitoring
Digital computers
Accelerometers
Head
Monitoring
Hooks
Obstructive Sleep Apnea
Veterans Hospitals
Research Ethics Committees
Sleep Apnea Syndromes
General Hospitals
Sleep
Sensors
Equipment and Supplies

ASJC Scopus subject areas

  • Biotechnology
  • Surgery
  • Biomedical Engineering
  • Health Informatics

Cite this

Realization of a CORDIC-Based Plug-In Accelerometer Module for PSG System in Head Position Monitoring for OSAS Patients. / Lin, Wen Yen; Chou, Wen Cheng; Shiao, Tsu Hui; Shiao, Guang Ming; Luo, Chin Shan; Lee, Ming Yih.

In: Journal of Healthcare Engineering, Vol. 2017, 4728187, 01.01.2017.

Research output: Contribution to journalArticle

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