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

• Published in: Journal of healthcare engineering Vol. 2017; no. 2017; pp. 1 - 9
• Main Authors: Luo, Chin-Shan, Shiao, Guang-Ming, Shiao, Tsu-Hui, Chou, Wen-Cheng, Lin, Wen-Yen, Lee, Ming-Yih
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2017; Hindawi; John Wiley & Sons, Inc
• Subjects: Algorithms; Patient monitoring equipment; Sensors; Sleep apnea syndromes
• ISSN: 2040-2295; 2040-2309; 2040-2309
• DOI: 10.1155/2017/4728187

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.