Automated Wireless and Portable Measurement of Apnea-Hypopnea Index on Adult Patients With Obstructive Sleep Apnea Using Counter Based Algorithm

Abstract

Obstructive Sleep Apnea (OSA) is a condition characterized by repetitive obstruction of the upper airway which results in oxygen saturation. Arousals or disturbance from sleep have been increasingly recognized as a serious health issue across the globe which can then about 7 percent for adult men and 5 percent for adult women in a general populace. OSA disturbing the sleep can be classified as a serious risk factor for serious health illness such ass atrial fibrillation, hypertension, stroke, metabolic disorder, coronary artery disease and an excessive sleepiness. In order to assess OSA, there is a need for simplification of the machine used in monitoring sleep apnea as per doctor's advice. The standard device used to monitor sleep apnea is a Polysomnogram (PSG) that requires sleep technicians and sleep doctors. The standard PSG consists of multiple wires to monitor various vital signs. The discomfort from attached wires and unfamiliar place to sleep can lead to off results. To solve this, the researchers developed a simplified version of the standard device. The portable wireless device consists of the Raspberry Pi 3B+, Pulse Oximeter Sensor, Flex Sensor, Thermistor and Nasal Pressure Transducer to monitor nasal airflow, respiratory effort, and blood oxygen saturation levels for Obstructive Sleep Apnea diagnosis. Results from standard PSG and the device were compared using paired T-test with p-value of 0.43 and found that there is no significant difference between the two methods.