Obstructive sleep apnea syndrome is becoming a prevalent disease for both adults and children. It is described as the cessation of breath for at least 10 seconds during sleep. Detecting sleep apnea is considered as a troublesome and time-consuming method, which requires the patients to stay one or more nights in dedicated sleep disorder rooms with sensors physically attached to their body. Undiagnosed thereby untreated sleep apnea patients are under high risk of hypertension, heart attack, traffic accident through fatigue and sleeplessness. In this project, nasal and oral respiratory information is obtained with utilizing thermocouple and oxygen saturation in the blood is obtained with utilizing pulse oximeter. An analog hardware circuit is designed to readout thermocouple and pulse oximeter signals. According to this respiratory and pulse oximetry signals, obstructive sleep apnea is detected in real time with using a software implemented into an ARM based processor. An Android mobile application is developed to record and display the oxygen saturation, heart rate and respiratory signal data during sleep. ARM based processor and mobile application communication is established via Bluetooth interface to reduce cabling on the patient. In summary, a portable, low cost and user friendly device to detect obstructive sleep apnea which is able to share the necessary information to the patients and doctors for the duration of the whole sleep cycle is developed.