Wearable Device for Detecting & Improving Sleep Apnea
Sleepcare Kit 착용 모습 ( Wearing Sleepcare Kit )
Sleepcare Kit & Smart Pillow 동작 구조
전세계에서 10억 명이나 되는 인구가 수면 무호흡증을 앓고 있지만 수면 무호흡증을 진단하는 방법은 수면 클리닉이 있는 병원에서 수면다원검사 외에는 거의 없습니다.
Sleepcare Kit을 이용하여 수면 무호흡을 진단한 결과
Obstructive sleep apnea (OSA), although it is a common symptom for ordinary people, is a serious issue in that it can lead to chronic and degenerative brain disease. However, these sleep disorders and apnea symptoms are difficult to diagnose at home or to recognize and cope with severe apnea situations. In response to this, we developed a Sleepcare Kit, an integrated wearable device. The Sleepcare Kit is a wearable distributed system in which the PAAR band and the bio-cradle are combined in the form of a hot plug-in without pre-setting. The PAAR band serves as a gateway for wireless communication with external devices and adjusts initial setting values for various sensors of the bio-cradle. Bio-cradle continuously measures/stores multiple bio-signals (PPG/SPO2, respiration, 3axis-acc, and body temperature) and analyzes the signal data to determine sleep quality and emergency situation in real-time. Although it is a set of small wearable devices, the kit itself diagnoses sleep quality on a real-time base without any external computing assistance while he/she is asleep. Simultaneously, it analyzes the gathered hypopnea and apnea data in real time and calculates the apnea risk phase. Moreover, according to the apnea risk phase, it can inform the wearer or guardian about the danger through the smartphone or smart-speaker. In this paper, we will discuss the algorithm that is used for the detection of sleep apnea in Sleepcare Kit, as well as the software platform for continuous measurement and synchronization of various bio-signals in real time. Moreover, we evaluated the accuracy of the system by comparing the obtained results with the polysomnography equipment used in hospitals.
And now, we are developing Smart Pillow that can improve sleep apnea.
Yeong Jun Jeon, and Soon Ju Kang. "Wearable sleepcare kit: Analysis and prevention of sleep apnea symptoms in real-time." IEEE Access 7 (2019): 60634-60649.
YeongJun Jeon, KukHo Heo, and Soon Ju Kang. "Real-Time Sleep Apnea Diagnosis Method Using Wearable Device without External Sensors." 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, 2020.