members

프로필 이미지 호버 이미지

Hyeon Seok Seok, Ph.D. Candidate (Chonnam National University)

Research Assistant

E-mail Research Areas : Biomedical engineering, Digital Healthcare, Medical AI

Journal

  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
  • Seok HS, Yu S, Shin K, Lee W, Chun S, Kim S, Shin H. Machine learning-based sample misidentification error detection in clinical laboratory tests: A retrospective multicenter study. Clinical Chemistry. 2024 Aug; 70(10):1256-1267; IF:7.1@2023JIF; RA-2024-00423853, 2024IP0001.
  • Ryu G, Choi JM, Lee J, Seok HS, Shin H, Choi B. Analysis of Photoplethysmography-Based Surgical Pain Severity Assessment Markers. Journal of Electrical Engineering & Technology. 2024 Aug; 19(6):3665-3674; IF:1.6@2023JIF; 2021-0100, KCT0005840.
  • Ryu G, Seok HS, Lee J, Shin H. Machine learning based quantitative pain assessment for the perioperative period. npj Digital Medicine. 2025 Jan; 8(1):53; IF:12.4@2023JIF; HR20C0026, HI22C1668, RS-2024-00335644.
  • Seok HS, Kim SS, Kim D, shin H. Toward Objectification of Subjective Chronic Pain Based on Implicit Response in Biosignals. IEEE Transactions on Biomedical Engineering. 2025 Jan; 72(1):337-345; IF:4.4@2023JIF; HI22C1668, 2023IP0133.
  • You J, Seok HS, Kim S, shin H. Advancing laboratory medicine practice with machine learning: swift yet exact. Annals of Laboratory Medicine. 2024 Nov; 45(1):22-35; IF:4@2023JIF; RS-2024-00335644, 2024IP0001.
  • Seok HS, Choi Y, Yu S, Shin K, Kim S, Shin H. Machine learning-based delta check method for detecting misidentification errors in tumor marker tests. Clinical Chemistry and Laboratory Medicine. 2023 Dec; 62(7):1421-1432; IF:6.8@2022JIF; HR20C0026, 2023IP0003-1.
  • Park J, Seok HS, Kim SS, Shin H. Photoplethysmogram Analysis and Applications: An Integrative Review. Frontiers in Physiology. 2022 Mar; IF:4.566@2020JIF; 2018R1D1A3B07046442, HI21C0011.
  • Seok HS, Shin H. Recommendation for Measuring Digital Volume Pulse in Mobile Application: For Healthy Normal Subject. IEEE Access. 2021 May; IF:3.745@2019JIF; 2016M3A9F1941328, 2018R1D1A3B07046442.
  • Kim JW, Seok HS, Shin H. Is Ultra-Short-Term Heart Rate Variability Valid in Non-static Conditions?. Frontiers in Physiology. 2021 Mar; 12(596060):; IF:3.367@2019JIF; 2018R1A4A1025704, 2018R1D1A3B07046442.
  • Seok HS, Choi B, Noh G, Shin H. Postoperative Pain Assessment Model Based on Pulse Contour Characteristics Analysis. IEEE Journal of Biomedical and Health Informatics. 2019 Nov; 23(6):2317-2324; IF:4.217@2018JIF; 2018R1A4A1025704, 2016M3A9F1941328.
  • 석현석, 신항식. 광용적맥파 미분 파형 기반 수술 후 통증 평가 지표. 전기학회논문지. 2019 10; 68(10):1258-1266; NRF-2018R1A4A1025704, NRF-2018R1D1A3B07046442.
  • Yang YL, Seok HS, Noh G, Choi B, Shin H. Postoperative Pain Assessment Indices Based on Photoplethysmography Waveform Analysis. Frontiers in Physiology. 2018 Aug; IF:3.394@2017JIF; 2015R1C1A1A02036535, 2016M3A9F1941328.
  • 양윤라, 석현석, 신항식. 심전도, 광용적맥파 박동 특징점 교정 및 매칭을 위한 어플리케이션 개발. 한국지능시스템학회 논문지. 2017 12; 27(6):556-572; 2015R1C1A1A02036535.

    Patent

  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)

Award

  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

Project

  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

Conference

  • 석현석, 김솔잎, 신항식. Deep Learning for Tumor Marker Misidentification Error Detection: inter-center model performance comparison. 대한의용생체공학회 2023년도 제62회 추계학술대회 및 IBEC 2023. 2023. 11. 9-11; 고려대학교 하나스퀘어; 2023..
  • Choi YE, Lee J, Seok HS, Shin H. Demographics and Comorbidities as an Atrial Fibrillation Risk Factor: a Retrospective Study in Koreans. EMBC 2024. 2024 Jul 15-19; Orlando, USA; 2024.
  • Seok HS, Ryu G, Choi JM, Choi B, Shin H. Arrival Times of Maximum Pain and Pain Suppression After Acute Pain Stimulation in Surgical Procedure. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2023 Jul 24-27; Sydney International Convention Centre (ICC); 2023.
  • Choi Y, Seok HS, Shin H, Lee S, Yu J, Kim S, Lee W, Chun S. Applying Machine Learning for Result Verification: Analysis of Five Tumor Markers. Cherry Blossom Symposium 2024 (CBS 2024) The 13th International Conference of Clinical Laboratory Automation. 2024 Mar 20-22; The-K Hotel, Seoul, Korea; 2024.
  • Seok HS, Yim JY, Kwon D, Shin H. Postoperative Pain Assessment Using Convolutional Neural Network. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC’19). 2019 Oct 24-27; Berlin, Germany; 2019.
  • 석현석, 유지원, 김솔잎, 신항식. 머신러닝을 사용한 진단검사 오류 감지. 2024 대한전기학회 제55회 하계학술대회. 2024. 7. 10-13; 제주국제컨벤션센터(ICC제주); 2024.