Computational Medicine Laboratory

61 Daehak-ro (yangho-dong), Gumi, Gyeongbuk, [39177] Korea

Tel: +82-54-478-7780

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  • Name: Riski Imaniastuti

  • Education: Master of Dept. of IT Convergence Engineering (2012 - 2014)

  • Thesis: Computational Prediction of the Effect of V241F KCNQ1 Mutation on Human Atrial Fibrilation

  • Name: Iman Rahmansyah Tayibnapis

  • Education: Master of Dept. of IT Convergence Engineering (2014 - 2016)

  • Thesis:  유비쿼터스 헬스케어용 거울에서 비접촉식 심박수 측정을 위한 Blood Volume Pulse 추출

(Blood Volume Pulse Extraction for Non-contact Heart Rate Measurement on Ubiquitous Healthcare Mirror System)

  • Name: Indana Zulfa

  • Education: Master of Dept. of IT Convergence Engineering (2014 - 2016)

  • ThesisKCNQ1 G229D 유전자 돌연변이 조건에서 심방의 전기생리학적 
    현상 예측에 대한 전산해석 연구

(Computational Prediction of Electrophysiological Behavior of Human Atrial with G229D Mutation on KCNQ1)

  • Name: Kim Chang-hyun

  • Education: Master of Dept. of IT Convergence Engineering (2015 - 2017)

  • Thesis:  3차원 전기-생리-역학 시뮬레이션을 이용한 KCNH2 변이 N588K가 심장 기능에 미치는 영향에 대한 연구

(Multi-scale Computational Analysis of Cardiac Electromechanical Responses due to KCNQ1 and KCNJ2 Gene Mutations)

  • Name: Setianto Febrian

  • Education: Master of Dept. of IT Convergence Engineering (2016 - 2018)

  • Thesis: Computing Performance Comparison of CPU and GPU Parallelization for Virtual Heart Simulation

  • Name: Nida Dusturia

  • Education: Master of Dept. of IT Convergence Engineering (2017 - 2019)

  • Journal Paper: Effect of Myocardial Heterogeneity on Ventricular Electro-Mechanical Responses: A Computational Study. Biomedical Engineering Online (2019)

  • Thesis: A Prediction of Action Potential Duration Alternans using Parameter Sensitivity Analysis in Cardiac Electrophysiology Simulation

  • Name: Jiyeong Lee

  • Education: Master of Dept. of IT Convergence Engineering (2017 - 2019)

  • Journal Paper

  • Thesis: 심근섬유증 및 KCNJ2 E299V 돌연변이가 심장 박동 효율에 미치는
    영향에 대한 컴퓨터 시뮬레이션 연구

​(Computer Simulation Study on the Effect of Myocardial Fibrosis and KCNJ2 E299V mutation on the Cardiac Pumping Efficiceny)

  • Name: Yoo Seok Kim

  • Education:

  • Conference Proceeding Papers:


(1) Prediction of Cardiac Efficiency under Myocardial Infarction Condition Using 3D Heart model: A Simulation Study. KOSOMBE 2016 (대한의용생체공학회 춘계학술대회)

(2) Computational Prediction of Cardiac Mechanical Responses of the Effect of Left Ventricular Assist Device during Arrhythmia. ASAIO 62nd Annual Conference

(3) Analysis of Ventricular Contractility According to Various Myocardial Infarction Location: A Simulation Study. The 12th World Congress on Computational Mechanics & The 6th Asia-Pacific Congress on Computational Mechanics

(4) Electromechanical Responses of Ventricles Under Various Severity of Fibrosis: Simulation Study. Cardiac Physiome Workshop 2016

(5) Computational Prediction of Blood Flow through Artificial Valves for Thrombosis Analysis. International Biomedical Engineering Conference 2016

(6) 심실보조장치의 인공판막주위의 혈류유동 해석을 위한 선행연구. 순환기의공학회 제 20회 학술대회 2016

(7) Computational Analysis of the Electrophysiological Fibrillation Mechanism on Human Cardiac Models under Various Myocardial Fibrosis Condition. KOSOMBE 2018 (대한의용생체공학회 춘계학술대회)

  • Name: Taye Getu Tadele

  • Education: Master of Dept. of Medical IT Convergence Engineering (2017 - 2019)

  • Journal Paper: Machine Learning Approach to Predict Ventricular Fibrillation Based on QRS Complex Shape. Frontiers in physiology (2019)

  • Thesis: Application of Machine Learning for Prediction of the Occurrence of Ventricular Tachyarrhythmia using Heart Rate Variability and QRS Complex Shape