A Study of Simple Sleep Apnea Predictive Device Using SpO2 and Acceleration Sensor

  • Woo, Seong-In (Department of Biomedical Engineering, college of Health Science, Eulji University) ;
  • Lee, Merry (Department of Biomedical Engineering, college of Health Science, Eulji University) ;
  • Yeom, Hojun (Department of Biomedical Engineering, college of Health Science, Eulji University)
  • Received : 2019.10.08
  • Accepted : 2019.10.22
  • Published : 2019.11.30


Sleep apnea is a disease that causes various complications, and the polysomnography is expensive and difficult to measure. The purpose of this study is to develop an unrestricted wearable monitoring system so that patients can be examined in a familiar environment. We used a method to detect sleep apnea events and to determine sleep satisfaction by non-constrained method using SpO2 measurement sensor and 3-axis acceleration sensor. Heart rate and SpO2 were measured at the finger using max30100. After acquiring the SpO2 data of the user in real time, the apnea measurement algorithm was used to transmit the number of apnea events of the user to the mobile phone using Bluetooth (HC-06) on the wrist. Using the three-axis acceleration sensor (mpu6050) attached to the upper body, the number of times of tossing and turning during sleep was measured. Based on this data, this algorithm evaluates the patient's tossing and turning during sleep and transmits the data to the mobile phone via Bluetooth. The power source used 9 volts battery to operate Arduino UNO and sensors for portability and stability, and the data received from each sensor can be used to check the various degree between sleep apnea and sleep tossing and turning on the mobile phone. Through thisstudy, we have developed a wearable sleep apnea measurement system that can be easily used at home for the problem of low sleep efficiency of sleep apnea patients.


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