Heejin Kim

I am currently working as a Research Professor at Seoul National University Hospital Clinical Trials Center (SNUH-CTC). I received my bachelor's and master's degrees in Biomedical Engineering from Kyung Hee University, Korea, in 2006 and 2008, respectively. After working in the Laser Application Research Laboratory of EO Technics, I received my doctoral degree in Bioengineering from Seoul National University in 2021. I am interested in signal processing, medical instrumentation, medical informatics and machine & deep learning. My main work at SNUH-CTC is to develop advanced data collection and management systems for conducting decentralized clinical trials and to develop telemedicine solutions.

• Ten SCI(E), One Scopus, and One KCI Papers
• Five patent registrations (Korea: 3, China: 1, Hongkong: 1)
• Acquisition of Good Manufacturing Practice (GMP) Certificate for a second-class medical device (Company: SNUH Venture, Item group: Physiological Monitoring Device) and GMP Certificate review consulting (Chungnam National University Hospital, Panaxtos, SNUH Transdisciplinary Institute of Medicine & Advanced Technology)
• Best Performance Announcement Award at 2022 Spring conference of the Korean Society of Medical Informatics (June 2022)

• Institute: Clinical Trials Center, Seoul National University Hospital
• Address: 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea

[Principal Investigator]

1. An open, randomized and parallel-design exploratory clinical trial to evaluate the effect of smart medication adherence monitoring on the medication adherence and blood D concentration (Sponsor: InHandPlus, Research Period: June 2022 - December 2022)

2. Development of the On-Device Machine Learning Platform on the Microcontroller for Monitoring Real-Time Biosignals (Sponsor: Seoul National University Hospital, Research Period: August 2022 - July 2023)

[Participating Researcher]

1. All-in-One Automatic CPR Machine including ECG, SpO2, CPR feedback, AED and Remote Monitoring Unit (Sponsor: Ministry of Trade, Industry and Energy of Korea, Research Period: August 2015 - April 2018)

2. Development of Noninvasive Cerebral Perfusion Pressure Prediction Model by Cutaneous EEG in Porcine Cardiac Arrest Model (Sponsor: Seoul National University Hospital, Research Period: June 2018 - May 2019)

3. Development of Noninvasive Intracranial Pressure Prediction Model by Cutaneous EEG in Porcine Traumatic Brain Injury with Hemorrhagic Shock Model (Sponsor: Seoul National University Hospital, Research Period: June 2018 - May 2019)

4. Effect of Fluid Type on Cerebral Perfusion Pressure and Brain Electrical Viability in Porcine Cardiac Arrest Model (Sponsor: Seoul National University Hospital, Research Period: June 2019 - May 2020)

5. Next-generation Smart Clinical Trial Technology Innovation Center (Sponsor: Ministry of Health and Welfare of Korea, Research Period: July 2019 - April 2022)

6. Development of the 19-channel Dry Electrode Headset-type Electroencephalography (Sponsor: iMediSync, Research Period: August 2020 - December 2020)
7. Technology of Intracranial Pressure Estimation by Single-Channel EEG in Traumatic Brain Injury (Sponsor: National Research Foundation of Korea, Research Period: June 2019 - December 2020)  

[SCI(E)]

1. Lee EM, Jung J-I, Alam Z, Yi H-G, Kim H, Cho J W, et al. Effect of an oxygen-generating scaffold on the viability and insulin secretion function of porcine neonatal pancreatic cell clusters. Xenotransplantation. 2018;25(2):e12378.

2. Kim H, Kim KH, Hong KJ, Ku Y, Shin SD, Kim HC. Frontal EEG Changes with the Recovery of Carotid Blood Flow in a Cardiac Arrest Swine Model. Sensors. 2020;20(11):3052.

3. Kim TH, Kim H, Hong KJ, Do Shin S, Kim HC, Park YJ, et al. Prediction of cerebral perfusion pressure during CPR using electroencephalogram in a swine model of ventricular fibrillation. The American Journal of Emergency Medicine. 2021;45:137-43.

4. Kim H, Kim KH, Hong KJ, Ku Y, Shin SD, Kim HC. EEG-Based Prediction of the Recovery of Carotid Blood Flow during Cardiopulmonary Resuscitation in a Swine Model. Sensors. 2021;21(11):3650.

5. Choi DS, Kim H, Hong KJ, Do Shin S, Kim HC, Park YJ, et al. Correlation of EEG-based brain resuscitation index and end-tidal carbon dioxide in porcine cardiac arrest model. 2021.

6. Ryu H, Piao M, Kim H, Yang W, Kim KH. Development of a Mobile Application for Smart Clinical Trial Subject Data Collection and Management. Applied Sciences. 2022;12(7):3343.

7. Kim H, Huh KY, Piao M, Ryu H, Yang W, Lee S, et al. Self-Reporting Technique-Based Clinical-Trial Service Platform for Real-Time Arrhythmia Detection. Applied Sciences. 2022;12(9):4558.

8. Pak J, Kim H, Hong K, Song K, Kim K. 102 Prediction of Elevated Intracranial Pressure Using Quantitative Electroencephalogram in a Porcine Experimental Traumatic Brain Injury Model. Annals of Emergency Medicine. 2022;80(4):S50.

9.  Kim K-H, Kim H, Song K-J, Shin S-D, Kim H-C, Lim H-J, et al. Prediction of Increased Intracranial Pressure in Traumatic Brain Injury Using Quantitative Electroencephalogram in a Porcine Experimental Model. Diagnostics. 2023;13(3):386. 

10.  Huh, K. Y., Lee, H., Lee, S., Yu, K. S., Kim, K. H., & Kim, H. (2023). Exploration of smart adherence‐monitoring methods in vitamin D‐deficient patients: A pilot, feasibility clinical study. Clinical and Translational Science. 

[Scopus]

1. Huh KY, Jeong SI, Yoo H, Piao M, Ryu H, Kim H, et al. Lessons from a multicenter clinical trial with an approved wearable electrocardiogram: issues and practical considerations. Translational and Clinical Pharmacology, 30(2),87

[KCI]

1. Oh TI, Lee MH, Kim H, Woo EJ (2007). 320-Channel Multi-Frequency Trans-Admittance Scanner (TAS) for Anomaly Detection. Journal of Biomedical Engineering Research, 28(1), 84-94. 

- Biological Signal Analysis with Machine/Deep Learning Technique

- Telemedicine with Wearable Devices and Decentralized Clinical Trials

- Hospital Information System

- Medical Device Regulatory Science Research

• Regular member @The Korean Society of Medical & Biological Engineering
• Regular member @The Korean Society of Brain Neuromodulation Therapy
• Adjunct researcher @Seoul National University Hospital Laboratory of Emergency Medical Service