members

Hyeon Seok Seok,Ph.D.candidate

Researcher
shhs4695@gmail.com
Research Areas : Biomedical Engineering,Digital Healthcare,Medical AI

Papers & Conferences

  1. Hyeon Seok Seok, Sang Su Kim, Do-Won Kim, Hangsik Shin, “Toward Objectification of Subjective Chronic Pain based on Implicit Response in Biosignals,” IEEE Transactions on Biomedical Engineering, 2024.
  2. Hyeon Seok Seok, Shinae Yu, Kyung-Hwa Shin, Woochang Lee, Sail Chun, Sollip Kim, Hangsik Shin, “Machine learning-based sample misidentification error detection in clinical laboratory tests: A retrospective multicenter study,” Clinical Chemistry, 70(10), 1256-1267, 2024.
  3. Junyung Park, Hyeon Seok Seok, Sang-Su Kim, and Hangsik Shin, "Photoplethysmogram Analysis and Applications: An Integrative Review," Frontiers in Physiology, 12, pp.1-23, 2022
  4. Hyeon Seok Seok and Hangsik Shin, "Recommendation for Measuring Digital Volume Pulse in a Mobile Application: for Healthy Normal Subject," IEEE ACCESS, 9, pp. 69335-69345, 2021
  5. Jin Woong Kim, Hyeon Seok Seok, and Hangsik Shin, "Is Ultra-Short-Term Heart Rate Variability Valid in Non-static Conditions?," Frontiers in Physiology, 12, pp. 596060, 2021
  6. Hyeon Seok Seok, Byung-Moon Choi, Gyu-Jeong Noh, and Hangsik Shin, “Postoperative Pain Assessment Model Based on Pulse Contour Characteristics Analysis,” IEEE Journal of Biomedical and Health Informatics, 23(6), 2317-2324, 2019
  7. Yoon La Yang, Hyeon Seok Seok, Gyu-Jeong Noh, Byung-Moon Choi, and Hangsik Shin, “Postoperative pain assessment index based on Photoplethysmography,” Frontiers in Physiology, 9, 1199, 2018.
  8. Hyeon Seok Seok and Hangsik Shin, “Postoperative Pain Assessment Features Based on Derivative Photoplethysmogram,” The Transaction of Korean Institute of Electrical Engineering (KIEE), 68(10), 1258-1266, 2019
  9. Hyeon Seok Seok and Hangsik Shin, “Investigation of the pulse to pulse interval and amplitude variation of photoplethymogram as a pain assessment parameter during anesthesia,” Journal of the Korean Institute of Intelligent Systems (KIIS), 28(4), 328-334, 2018
  10. Hyeon Seok Seok and Hangsik Shin, “Postoperative Pain Assessment based on Derivative Waveform of Photoplethysmogram,” The Transaction of Korean Institute of Electrical Engineering (KIEE), 67(7), 962-968, 2018
  11. Yoon La Yang, Hyeon Seok Seok, and Hangsik Shin, “Development of an application for correction and arrangement of pulse features of ECG and PPG,” Journal of the Korean Institute of Intelligent Systems (KIIS), 27(6), 566-572, 2017

patents

  1. 광용적맥파의 미분 지표를 이용한 수술 후 통증 평가 방법 및 장치, Filed (No: KR1020200066975, Date: 2020/06/03), Published (No: KR1020210150063, Date: 2021/12/10), Granted (No: KR102361725, Date: 2022/02/07)

awards

  1. Best Abstract Awards, Spring Conference, Korean Society for Anesthetic Pharmacology, 2023
  2. Best Paper Awards, 53rd Conference on the Korean Institute of Electrical Engineering (KIEE), 2022
  3. Best Poster Awards, 57th Korea Society of Medical and Biological Engineering Spring Conference 2021 (KOSOMBE), 2021
  4. Best Paper Award, The Korean Institute of Electrical Engineers (KIEE), 2020
  5. Best Paper Award, Autumn Conference, Korean Institute of Intelligent Systems (KIIS), 2017
  6. Best Paper Award, Spring Conference, Korean Institute of Intelligent Systems (KIIS), 2017

Participated Projects

  1. 2023.01-2023.12 (On-going): Research Student, Development of Autoverification Algorithm for Laboratory Results Using Artificial Intelligence, Asan Medical Center, South Korea
  2. 2023.04-2027.12 (On-going): Research Student, Development and Validation of M3DT for Electroceuticals and Wearable Bio-Signal Medical Device, Ministry of Food and Drug Safety, South Korea
  3. 2022.04-2025.12 (On-going): Research Student, Development of AI Software as a Medical Device for Management of Full-Cycle of Atrial Fibrillation Based on Cardiac Digital Twin, Korea Government Skills and Techniques (the Ministry of Science and ICT, the Ministry of Trade, the Ministry of Health & Welfare, the Ministry of Food and Drug Safety), South Korea
  4. 2021.04-2023.12 (On-going): Research Student, Development, Optimization, and Clinical Verification of Software for Early Diagnosis and Prognosis of Atrial Fibrillation Integrating Gene, Electrocardiogram, and Clinical Information Based on Artificial Intelligence, Ministry of Health and Welfare (MOHW), South Korea