Tae Young Jung

Dr. Tae Young Jung

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Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Journal of Korean Medical Science
Verified
Journal Article
Open access
PDF file
SBSanghyuk Bae
Sanghyuk Bae
HKHwami Kim
Hwami Kim
TJTae Young Jung
Tae Young Jung
JLJi-Ae Lim
Ji-Ae Lim
DJDa-Hye Jo
Da-Hye Jo
HKHo-Jang Kwon
Ho-Jang Kwon
Bae S, et al. J Korean Med Sci. 2020 Jul;35(31):e288. https://doi.org/10.3346/jkms.2020.35.e288

4 May 2021 in Applied Sciences
Verified
Journal Article
Open access
PDF file
SLSeo-Joon Lee
Seo-Joon Lee
IJIl-Do Jeong
Il-Do Jeong
EKEo-Bin Kim
Eo-Bin Kim
JPJin-Young Park
Jin-Young Park
IJIn-Hwan Jo
In-Hwan Jo
TJTae Young Jung
Tae Young Jung
Obstructive sleep apnea (OSA) and bruxism are widely recognized as common forms of sleep obstruction in modern everyday life. The most representative and conventional treatment method using continuous positive airway pressure has a critical problem owing to its high inconvenience. A relatively modern alternative solution is the mandibular advancement device, but it still has no monitoring function for patient compliance. Therefore, this research proposes Sleep Guard (s-Guard), a multisensor embedded OSA monitoring intraoral appliance device based on Internet-of-Things technology. Relevant health information monitoring sensors, such as temperature, gyroscope, accelerometer, and SpO2 sensors, were embedded for real-time health monitoring. Results showed an average transmission speed of 91,870.19 bytes per second, a successful connection check rate of 100%, and a wireless data stream error rate of 0.1%. Overall, the actual speed, connection, and error test results revealed the robust functioning of s-Guard in real monitoring scenarios. This research is envisioned to greatly enhance patient compliance when treating OSA or bruxism and is also expected to motivate other sensors to be embedded in our proposed model for the application of other disease areas.