Title: Sensor Design and Low Cost APAP Design to Determine the Digital Rate of Nasal Air Duct Obstruction

Abstract: Nasal air duct obstruction (NADO) is not only a mechanical narrowing or obstruction of the upper respiratory tract, but also a clinically important health problem with systemic effects. Obstruction of airflow through the nasal air canal causes impairment of some physiological functions and compels individuals to breathe through the oral. This may cause various disorders such as various upper respiratory tract infections, cardiovascular disorders, decreased sleep quality. Early diagnosis of NADO, confirmation with objective measurement methods and application of appropriate treatment approaches such as automatic positive airway pressure (APAP) device are critical for both providing symptomatic relief and maintaining overall health and quality of life. In this study, a system has been designed that can digitally determine the NADO condition that occurs due to chronic or acute reasons and after this determination, the air pressure of the APAP device can be adaptively adjusted according to this obstruction rate. The sensor designed in this study is intended to provide information about the ratio of breath that cannot pass through the nasal air canal and to provide sleep clinicians and physicians with helpful information about the condition of the disorder. This sensor is intended to send information to an APAP design to provide optimum air pressure as a result of evaluations.

Keywords: nasal air duct obstruction, sensor design, infrared sensor, Arduino Mega

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