A Review on Biofeedback System For Obstructive Sleep Apnea In Geriatric Population

Abstract: Sleep is essential for humans although its basic physiological function remains obscure. Humans suffer from various sleep disorders including dyssomnias such as insomnia, hypersomnia, narcolepsy, parasomnias, bruxism, circadian rhythm sleep disorders and sleep apnea. The major problem addressed in this review paper is Obstructive Sleep Apnea in geriatric population. Sleep Apnea is defined as hinderance of airflow during breathing where soft tissue muscle in throat relax and narrow the airway which cause blockage of upper airway tract (Obstructive sleep apnea). Microcontroller based sleep apnea monitor consists of a Respiration sensor for measuring and monitoring the breath condition, SPO2 and Pulse Sensor for monitoring the heart rate and blood oxygen saturation level and Digital Humidity and Temperature sensor. All the parameters are monitored by the microcontroller once the microcontroller detects any difficulties in breathing conditions it’ll automatically turn on the supportive system for the patient. By using our proposed supportive system patients can able to breathe stably. In addition, the acquired parameters will be accessible to the practitioner through customised IoT platform which is inbuilt in system.

Keywords: Dyssomnia, Obstructive sleep Apnea, Geriatric population, Microcontroller and IoT