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전문대학원 소개

한양대학교 의생명공학전문대학원

교직원소개




국문 (한자) 성명 이종실 전공분야 / 연구분야 의공학/생체신호계측
영문성명 Lee, Jong Shill  URL http://suh.hanyang.ac.kr
현직급 연구교수 연구실 전화번호 02-2293-0697
소속 서울 부설연구소 의공학연구소 학교 이메일 주소 netlee@hanyang.ac.kr

경력 및 학위 취득 관련 사항

학사학위 취득 관련 사항 인하대학교 전자공학
석사학위 취득 관련 사항 인하대학교 전자공학(정보공학 전공)
박사학위 취득 관련 사항 인하대학교 전자공학과(정보공학 전공)
주요경력 - 2003~2005 인하대학교 전자공학과 시간강사 - 2001~2005 한국산업기술대학교 전자공학과 겸임교수 - 2001~2002 ㈜씨큐인포 연구원

연구관련자료

실험실 명 (국문) SUH Lab.(Smart Ubiquitous Healthcare Lab.)
실험실 명 (영문) SUH Lab.(Smart Ubiquitous Healthcare Lab.)
Research interest Biometric Authentication, Biomedical instrumentation, Blood Pressure estimation, Digital Healthcare, Stress recognition, Bioinformatics
대표 논문 -Mental stress assessment using ultra short term HRV analysis based on non-linear method(Biosensors, 2022) -Gait-based continuous authentication using a novel sensor compensation algorithm and geometric features extracted from wearable sensors(IEEE Access
연구 분야 대표 그림

최근 논문 리스트


- Effects of Game-Related Tasks for the Diagnosis and classification of gaming disorder(Biosensors, 2024)

- Quantitative analysis of pulse arrival time and PPG morphological features based cuffless blood pressure estimation: a comparative study between diabetic and nondiabetic groups(Biomedical Engineering Letters, 2023)

- Mental stress assessment using ultra short term HRV analysis based on non-linear method(Biosensors, 2022)

- Gait-based continuous authentication using a novel sensor compensation algorithm and geometric features extracted from wearable sensors(IEEE Access, 2022)

- ECG authentication based on non-linear normalization under various physiological conditions(Sensors, 2021)

- Development of smart ring-based chest compression depth feedback device for high quality chest compressions: A proof of concept study(Biosensors, 2021)

- Effects of knee osteoarthritis severity on inter-joint coordination and gait variability as measured by hip-knee cyclograms(Scientific Reports, 2021)

- Automated remote decision-making algorithm as a primary triage system using machine learning techniques(Physiological measurement, 2021)

- Impact of a smart-ring-based feedback system on the quality of chest compressions in adult cardiac arrest: A randomized preliminary study( IJERPH, 2021)

- Prognostic Impact of In-Hospital Use of Mechanical Cardiopulmonary Resuscitation Devices Compared with Manual Cardiopulmonary Resuscitation: A Nationwide Population-Based Observational Study in South Korea(Medicina, 2021)

- Patterns of enhancement in paretic shoulder kinematics after stroke with musical cueing(Scientific Reports, 2020)

- Clip-on IMU system for assessing age-realated changes in hand functions(Sensors, 2020)

- Can mobile videocall assist Laypersons' use of automated external defibrillators? A randomized simulation study and qualitative analysis( BioMed Research International, 2020)

 

 

 

 

 

 

 



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