Introduction

SUH Lab. Introduction 현재 한양대학교 Smart Ubiquitous Healthcare 연구실에서는 일상 생활 중 무구속적인 생체 신호 모니터링 및 생체 분석을 위한 연구를 수행하고 있다. 유비쿼터스 헬스케어(U-healthcare)는 무선 통신 기술 등을 이용하여 언제, 어디서나 사람들이 개개인의 건강을 체크하고 관리할 수 있도록 의료 서비스를 제공하는 데 중점을 두고 있는 분야이다. 유비쿼터스 헬스케어 시스템은 사용자들의 활동에 제한을 두지 않고 일상 생활을 유지하면서 생체 신호 정보를 연속적, 주기적으로 획득하여 사용자 개개인의 건강 상태 및 질병의 추이 등을 판단하고 그에 따른 의학적 소견을 제공할 뿐 아니라 응급한 상황이 발생하였을 시 환자 가족이나 의료 및 구조 종사자에게 알려 빠른 의료 조치를 받을 수 있는 미래 의료의 핵심이라고 할 수 있다. 또한 방대한 의료기록 속에서 유용한 정보(패턴, 특징)를 이해하기 쉬운 형태로 시각화하여 의사결정과정에 적용하기 위하여 생체신호 처리 및 분석 기술과 Deep Learning 및 기계학습 기술을 결합하는 연구를 수행하여, 질환 발생 및 위험도 예측을 위한 다양한 인공지능 기술을 개발하여 임상의료 데이터에 적용하고 있다.
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Principal Investigator

In Young Kim, M.D.
Professor
Department of Biomedical Engineering
Graduate School of Biomedical Science and Engineering
Hanyang University

Contact Information
Office : College of Medicine II 205
Phone : +82-2-2291-1713
E-mail : iykim@hanyang.ac.kr

Background
(1989) M.S. College of Medicine, Seoul National University
(1994) M.D., Ph.D. Biomedical Engineering, Seoul National University
(1994-1997) Samsung Biomedical Research Institute
(1998-2000) Samsung Advanced Institute of Technology
(2000~) Professor, Dept. of Biomedical Engineering, College of Medicine, Hanyang University, Seoul, Korea
(2010~) Professor, Graduate School of Biomedical Science & Engineering, Hanyang University, Seoul, Korea

Research Interest
- Bio-engineering, Neuro-engineering
- Bio-Sensor
- Bio-Telemetry
- Medical Informatics
- Bio-Signal Acquisition and Analysis








Assistant Professor




Jeyeon Lee, Ph.D.
Assistant Professor (Tenure track)
Department of Biomedical Engineering
Hanyang University

Contact Information
Phone : 82-2-2220-0594
E-mail : jeyeonlee@hanyang.ac.kr

Background
(2005-2010) B.S. in Biomedical Engineering, Hanyang University, Seoul, Korea
(2010-2017) Ph.D. in Biomedical Engineering, Hanyang University, Seoul, Korea
(2017-2019) Postdoctoral Research Fellow, Department of Neurologic surgery, Mayo Clinic, Rochester, MN, USA
(2019-2022) Senior Postdoctoral Research Fellow, Department of Neurologic surgery, Mayo Clinic, Rochester, MN, USA
(2022-2023) Senior Engineer, Department of Radiology, Mayo Clinic, Rochester, MN, USA
(2022-2023) Assistant Professor (non-Tenure track), Department of Radiology,
                            College of Medicine and Science, Mayo Clinic, Rochester, MN, USA
(2023 ~) Assistant Professor (Tenure track), Department of Biomedical Engineering,
                  College of Medicine, Hanyang University, Seoul, Korea

Research Interest
- Computation in imaging, multi-dimensional data analysis, and algorithm development
- Analytical and computational methods of deterministic and stochastic optimization, large-scale systems, data networks
- Artificial intelligence (AI). Development of AI-powered clinical decision support tool
- Machine learning methods and interpretability of convolutional neural network model
- Algorithms and software for computational neuroscience
- Neuroimaging based biomarker for Alzheimer’s disease




Research Professor



Jongshill Lee, Ph.D.
Research Associate Professor
Department of Biomedical Engineering
Hanyang University

Contact Information
Phone : +82-2-2293-0697
E-mail : netlee@hanyang.ac.kr

Background
(1997) M.S. Electronic Engineering, Inha University
(2005) Ph.D. Electronic Engineering, Inha University

Research Interest
- Cardiovascular system 
- Biomedical Signal Processing
- Biometric Authentication
- Rehabilitation(Gait measurement and Analysis)
- Intelligent soldier survivability




 

Member

Students 

Post doc.

 

 

Ph.D. candidate

B.S. Department of Computer Engineering, Yonsei University (2018) B.S. Department of Biological Resources and Technology, Yonsei University (Plural Major, 2018) E-mail : boruem0125@hanyang.ac.kr B.S. Department of Biomedical Engineering, Hanyang University (2019) E-mail : donghun2296@hanyang.ac.kr B.S. Department of Electronic Engineering, Soonchunhyang University(2020) E-mail : kjhoon6075@hanyang.ac.kr B.S. Biomedical Engineering, Yonsei University(2020) M.S. Biomedical Engineering, Hanyang University (2022) E-mail : hobin0215@hanyang.ac.kr B.S. Department of Biomedical Engineering, Hanyang University (2021) E-mail : chyoungseok@hanyang.ac.kr B.S. Department of Electronic Engineering, Incheon National University(2021) E-mail : junyong9713@hanyang.ac.kr

M.S. candidate

B.S. Department of Biomedical Engineering, Hanyang University (2023) E-mail : shc2912@hanyang.ac.kr B.S. Department of Biomedical Engineering, Hanyang University (2024) E-mail : realleesy@hanyang.ac.kr B.S. Department of Biomedical Engineering, Hanyang University (2024) E-mail : hajiho24@hanyang.ac.kr B.S. Department of Electronic Engineering, Soonchunhyang University (2024) E-mail : lghee1158@hanyang.ac.kr B.S. Department of AI&Software Engineering, Gachon University (2024) E-mail : sohyunlee124@hanyang.ac.kr B.S. Biomedical Engineering, Yonsei University (2024) E-mail : seongtaek77@hanyang.ac.kr Undergraduate Student   B.S. Department of Electronic Engineering, Soonchunhyang University E-mail : apple1218su@naver.com    AlumniDoctorate   Hang Joon Jo, Ph.D.(2008) Professorat Hanyang Univ. hangjoonjo@hanyang.ac.kr Do Hyung Kim, Ph.D. (2015) Founder and CEO at NuEyne dohyoung.kim@nueyne.com Young Suk Shin, Ph.D. (2015) Research Professor at Eulji University shinys0924@eulji.ac.kr Soo Hwa Song, Ph.D.(2015) Research Professorat Gachon Univ. Gil Medical Center soohwa214@gmail.com Hee Pyung Kim, Ph.D.(2016) Research Professor at KAISTInstitute for Health Science and Technology heepyung.kim@gmail.com Tae Kyung Kim, Ph.D.(2016) Research Engineer at Samsung Medical Center t0.kim@samsung.com Yoon Bae Oh, Ph.D.(2017) Postdoctoral Fellow at Mayo Clinic yoonbae1119@gmail.com Do Hyun Kim, Ph.D.(2017) heuron Co., LTD. , Senior researcher atown.dk@gmail.com Je Yeon Lee, Ph.D.(2017) Postdoctoral Fellow at Mayo Clinic jeyeon.lee87@gmail.com Kyeong won Cho, Ph.D.(2017) Business Development at NuEyen kyeongwon.cho@nueyne.com Ho Seok Choi, Ph.D.(2018) Postdoctotral Fellow at UCSF hosuk88@gmail.com Young Min Park, Ph.D.(2018) NuEyne youngmin@bme.hanyang.ac.kr Sung Jun Hong, Ph.D.(2018) Research Engineer at Samsung Medical Center Sungjun86.hong@samsung.com Jong Ho Hwang, Ph.D.(2019) Principal Research Engineerat Hyundai Mobis jongho2000@mobis.co.kr Eun Ju Kim, Ph.D.(2020) Sr.MR Clinical Scientist(이사) at Philips Korea ej895024@gmail.com     Shin Il Kang, Ph.D.(2021) Osong Medical Innovation Foundation,Medical Device Development Center shinil@kbiohealth.kr Sung Min You, Ph.D.(2021) Research Fellow at Boston Children's Hospital /Harvard Medical School sungmin.you@childrens.harvard.edu Jeong bong Choi, Ph.D.(2021) 주식회사 바텍 wjdqhdsp@naver.com Seung jae Lee, Ph.D.(2022) Staff Engineer at Samsung MX Digital Health team ssseungj.lee@samsung.com Joo Young Kim, Ph.D.(2023) Senior Researcherat Korea Institute of Industrial Technology(KITECH) jyjoshk(at)kitech(dot)re(dot)kr Master's degree    Jung Hoon Kang, M.S.(2008) 삼성전자 DS사업부 AVP제품개발팀 수석연구원 junghoon.kang@samsung.com Su Jin Kim, M.S.(2013) Associate Research Engineer at Bionet sujin824@ebionet.com Ho Jong Lee, M.S.(2014) Assistant manager at Daego Corporation hojong777@gmail.com Sung Hwan Lim, M.S.(2014) Assistant Engineer at VATECH sunghwan7677@gmail.com Hyun Sung Cho, M.S.(2014) Researcher at Daegu-Gyeongbuk Medical Innovation Foundation liblit@dgmif.re.kr Seo Hyun Lim, M.S.(2015)Assistant Research Engineer at KT R&D Research Centerseohyun.lim@kt.com Kyung Ran Min, M.S.(2016) Engineer at Samsung SDS kran.min@samsung.com Ki Hyuk Lee, M.S.(2016) LG Electronics R&D Center raykh.lee@lge.com Jung Min Yoon, M.S.(2016) Qualcomm Korea jmmmmm.yoon@gmail.com Eun Hye Lee, M.S.(2017) eunhye.jenna@gmail.com Mark DeWaele, M.S.(2017) Associate at Echo Healthcare dewaelemark@gmail.com Min Seong Kim, M.S.(2019) Researcher at Electronics and Telecommunications Research Institute(ETRI) kms5905@etri.re.kr Sun Ae Kim, M.S.(2020) Researcher at Korea Institute of Science and Technology sakim0705@kist.re.kr Yeong Myeong Kim, M.S.(2020) LG UPLUS 기술개발그룹 지능형CCTV개발팀 ymkim1202@lguplus.co.kr Hyo Jin Lee, M.S.(2020) Consumer & HealthcareProduct Development Team at YUHAN corporation hyojinlee@yuhan.co.kr Seong Ryul Park, M.S.(2023) Hyundai Mobis Creative UX Cell Research engineer seongryul@hanyang.ac.kr Myeong Su Kim, M.S.(2023) myeongsu1213@hanyang.ac.kr Kyou Min Choi, M.S.(2023) ckm303@hanyang.ac.kr Jin Hak Lee, M.S.(2024) jinhak9595@hanyang.ac.kr
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Research

AI team : 한양대학교 Suhlab의 A.I.팀에서는 ‘Smart Ubiquitous Healthcare Laboratory’ 이라는 연구실 이름에 맞게 우리 삶에 밀접한 분야에 인공지능을 적용한 다양한 연구를 수행한다. 특히 인공지능을 의료영상, 생체신호 등 의공학 분야에 적용하여 기존의 방식으로는 개발이 어려웠던 다양한 알고리즘을 개발하여 질병의 진단, 예측과 같은 의료분야는 물론 거짓말 탐지와 같은 기술에 이르기까지 여러 분야를 아우르는 연구를 진행하고 있다. (자세히) The A.I. team of Hanyang University Suhlab, according to the laboratory name ‘Smart Ubiquitous Healthcare Laboratory’, conducts various researches applying artificial intelligence to fields closely related to our living. Especially applying artificial intelligence to medical imaging, biomedical, and other fields of biomedical engineering to develop various algorithms that were difficult to develop by existing methods and conducts research in various fields ranging from medical diagnosis and prediction to polygraph detection technology. (more)

 

CV team : 한양대학교 Suhlab의 CV팀은 연구에 필요한 생체신호를 획득할 수 있는 시스템을 설계하고 측정된 생체신호를 이용하여 다양한 신호처리 알고리즘을 개발한다. CV팀은 기존의 의료장비로 측정 가능했던 생체신호를 일상생활에서 손쉽게 측정 가능한 wearable 디바이스 형태의 시스템을 설계하여 재활 치료, 헬스케어, 생체인증 연구를 병원, 기업, 타 연구소와의 협업하여 진행하고 있다.(자세히) Suhlab's CV team of Hanyang University designs a system that can acquire biomedical signals required for research and develops various signal processing algorithms using measured biomedical signals. We cooperate with hospitals, corporations and other research institutes to develop systems that can easily measure biomedical signals in everyday life for conducting rehabilitation treatment, healthcare, and biometrics.(more)

 

BCI team : BCI(Brain-computer interface) 팀의 목표는 전기적으로 측정된 뇌파에 의해 뇌의 활성화 정보를 바탕으로 뇌 상태를 모니터링하는 것입니다. 뇌파 또는 ECoG 신호는 뇌 세포의 활성화에 따른 전위를 측정하며, 그 변화는 뇌 기능의 활성화 또는 비활성화를 반영합니다. BCI팀은 간질과 같은 뇌질환이나 게임중독, 졸림 등으로 인한 정신상태의 변화에 집중하고 있습니다.(자세히) Our team aim to monitor the brain state based on the activation information of the brain by electrically measured brain waves. The electroencephalogram (EEG) or electrocorticogram (ECoG) signals measure the electrical potential generated by activation of brain cells, and their changes reflect the activation or deactivation of brain functions. Our research team has been focusing on brain disorders such as epilepsy or changes in mental state by gaming addiction or sleepiness.(more)

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Publication