Obstructive Sleep Apnea Syndrome (OSAS) is a common sleep related disorder that causes the cessation of breathing during sleep. The Gold Standard for diagnosing sleep apnea (SA) is overnight polysomnography (PSG), a test during which various physiological parameters are monitored. However, PSG is an expensive and time-consuming procedure, since it requires dedicated personnel and labs. In the past years, various techniques have been proposed for home-diagnosis of SA, like monitoring ECG and oxygen saturation, air flow, thoracic movements, respiratory sounds, and others. The aim of this work is to presents a microcontroller-based, Bluetooth enabled, wearable device for real-time acquisition of photoplethysmographic (PPG) signal and a MATLAB-based digital framework for PPG processing. The wearable device is embedded in a comfortable cotton headband, making it easy to wear and suitable for different measurement scenarios, such as clinical environments, during sport activities, during sleep, and so on. To measure the PPG signal we chose the Nellcor™ Max-Fast Forehead SpO₂ reflectance sensor. Thanks to the wireless communication link to a PC, the wearable device can be used both in clinical scenarios and at home, in telemedicine systems. At the same time, the digital signal processing framework allows new algorithms research on automatic analysis of PPG signals for detection and diagnosis of sleep apnea.
A Wearable Device for PPG Acquisition and Continuous Detection of Sleep Apnea Episodes
MACIS, SILVIA;RAFFO, LUIGI
2014-01-01
Abstract
Obstructive Sleep Apnea Syndrome (OSAS) is a common sleep related disorder that causes the cessation of breathing during sleep. The Gold Standard for diagnosing sleep apnea (SA) is overnight polysomnography (PSG), a test during which various physiological parameters are monitored. However, PSG is an expensive and time-consuming procedure, since it requires dedicated personnel and labs. In the past years, various techniques have been proposed for home-diagnosis of SA, like monitoring ECG and oxygen saturation, air flow, thoracic movements, respiratory sounds, and others. The aim of this work is to presents a microcontroller-based, Bluetooth enabled, wearable device for real-time acquisition of photoplethysmographic (PPG) signal and a MATLAB-based digital framework for PPG processing. The wearable device is embedded in a comfortable cotton headband, making it easy to wear and suitable for different measurement scenarios, such as clinical environments, during sport activities, during sleep, and so on. To measure the PPG signal we chose the Nellcor™ Max-Fast Forehead SpO₂ reflectance sensor. Thanks to the wireless communication link to a PC, the wearable device can be used both in clinical scenarios and at home, in telemedicine systems. At the same time, the digital signal processing framework allows new algorithms research on automatic analysis of PPG signals for detection and diagnosis of sleep apnea.
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