Clinical Assessment of Long-Term Monitor System in Obstructive Sleep Apnea Patients

Obstructive sleep apnea is a disease happened during sleep with repeated upper airway collapse leading to intermittent hypoxemia, hypercapnia, and frequent arousal. Obstructive sleep apnea is the risk factor of metabolic syndrome, arrhythmia, hypertension, stroke, and even sudden death. Patient with obstructive sleep apnea also suffer from daytime sleepiness, impaired concentration and psychomotor responsiveness as well as increasing traffic and working accident. The standard diagnosis tool for obstructive sleep apnea is the polysomnography (PSG) test. This sleep study was performed at hospital, which need an experienced technician to set up the equipment and monitor the study whole night. It is not only labor intense but also time consuming. There is always a long waiting list for PSG study. Although, some portable sleep monitoring system have been development to solve this problem. The efficiency and accuracy of these new devices are still questionable We consider to build up a long-term, home-based sleep breathing disorder monitor system. The system is composed of three main parts: a set of non-invasive wireless sensors, two software package and one website database. The non-invasive sensors employed in this system are two triple-axis accelerometers (TAA) and one microphone. Two TAAs detect the breath activity by way of thoracic and abdominal motion. A microphone records the airway sound and snore. The modern adaptive signal processing techniques like synchrosqueezing transform and empirical intrinsic geometry will be applied for sleep stage and architecture prediction. A new constructed sleep apnea recognition algorithm will be use for disease severity detection. Those data collected by these portable, wireless devices will be sent to the website for storage and analysis. Through the home-based, patient-centered monitoring system, the patients could be evaluated regularly for their sleep related breathing disorders, that will improve the disease control and their quality of life.

Project ID:PB10405-0147
External Project ID:MOST104-2220-E182-002