Donghun Kang

Ho Bin Hwang

Bo Rum Nam

Joo Young Kim

Seung jae Lee

Sung Min You

Jeong bong Choi

Shin Il Kang

Eun Ju Kim

Jong Ho Hwang

Sung Jun Hong

Young Min Park

Ho Seok Choi

Je Yeon Lee

Do Hyun Kim

Yoon Bae Oh

Kyeong won Cho

Tae Kyung Kim

Hee Pyung Kim

Soo Hwa Song

Do Hyung Kim

Young Suk Shin

Hang Joon Jo

Sohyun Lee

Geonhee Lee

Seungyeon Lee

Seongtaek Choi

Jiho Ha

Bum Jun Park

Jin Hak Lee

Seong Jae Choi

Kyou Min Choi

Ha Young Kim

Soo Bin Lee

Seong Ryul Park

Myeong Su Kim

Jin Kyoung Choi

Hyo Jin Lee

Cheol Jin Park

Yeong Myeong Kim

Sun Ae Kim

Ji Yoon Kim

Min Seong Kim

Juri Kim

Soon Won So

Seong Soo Joo

Se Ho Lee

Tae Hyun Kim

Hyun Jun An

Mark DeWaele

Eun Hye Lee

Jung Min Yoon

Ki Hyuk Lee

Kyung Ran Min

Seo Hyun Lim

Hyun Sung Cho

Sung Hwan Lim

Ho Jong Lee

Su Jin Kim

Jung Hoon Kang

Smart Ubiquitous Healthcare Laboratory. Empowering Health Through Wearable Device & Sensing and Intelligent Care. SUH Lab researches technology to measure and collect various biosignals from the human body in daily life, enabling health management anytime, anywhere. We combine wearable devices, high-precision sensors, and AI analysis technology to continuously extract precise health information without disrupting user activities. We are creating an intelligent healthcare platform that covers everything from disease prediction to emergency response and customized health care.

SUH Lab은 인체의 다양한 생체신호를 일상 속에서 측정하고 수집하여, 언제 어디서나 건강을 관리할 수 있는 기술을 연구합니다. 웨어러블 디바이스와 고정밀 센서, AI 분석 기술을 결합해 사용자의 활동을 방해하지 않고 정밀한 건강 정보를 연속적으로 추출합니다. 우리는 질병 예측부터 응급 상황 대응, 맞춤형 건강 관리까지 아우르는 지능형 헬스케어 플랫폼을 만들어갑니다.

Cerebral blood flow estimation using NIRS in cardiac arrest patients: correlation with ROSC outcomes

Personalized and Explainable Blood Pressure Estimation from PPG via Hybrid CNN–Morphological Features

Visuospatial dysfunction indicates an increased risk of rapid dementia conversion in Parkinson's disease

Effects of electrode placement on electrical stimulation for wound healing

Heart Rate Variability Responses to Acute Stress as Indicators of Perceived Stress and Resilience

Quantitative analysis of the effect of clothing on the oscillometric waveform envelope and oscillometric blood pressure measurements

불면증 환자에 대생체신호 기반 말초신경자극기술 반응군 스크리닝 방법

심전도 및 심박변이도 기반 혈당분석 방법

만성 스트레스 수준 평가 방법 및 장치

HRV 기반 스트레스 정량화 및 그룹별 임계값 알고리즘

다생체신호 기반 수면 질 예측 알고리즘

SSVEP 기반 뇌-컴퓨터 인터페이스의 성능 향상을 위한 적응형 필터링 기반 효율적 잡음 제거 기법

Hyperglycemia-detection(고혈당 탐지 알고리즘)

Analysis of Acute Stress Reactivity and Recovery in Autonomic Nervous System Considering Individual Characteristics of Stress Using HRV and EDA

Analysis of taVNS effects on autonomic and central nervous systems in healthy young adults based on HRV, EEG parameters

Comparison of Neck Pain and Posture with Spine Angle Tracking System between Static and Dynamic Computer Monitor Use

Preliminary Study of Novel Bio-Crypto Key Generation Using Clustering-Based Binarization of ECG Features

InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography

Effects of Game-Related Tasks for the Diagnosis and Classification of Gaming Disorder

Non-linear-normalization

Severity identification for internet gaming disorder using heart rate variability reactivity for gaming cues: a deep learning approach

웨어러블 디바이스에서의 3축 가속도 센서를 이용한 고 연령층 수면-각성 감지 알고리즘 개발

SelANet: decision-assisting selective sleep apnea detection based on confdence score

FacialCueNet: unmasking deception - an interpretable model for criminal interrogation using facial expressions

Exploring Autonomic Alterations during Seizures in Temporal Lobe Epilepsy: Insights from a Heart-Rate Variability Analysis

Quantitative analysis of pulse arrival time and PPG morphological features based cuffless blood pressure estimation: a comparative study between diabetic and non-diabetic groups

Gait-Based Continuous Authentication Using a Novel Sensor Compensation Algorithm and Geometric Features Extracted From Wearable Sensors

Selective Prediction LSTM for Time Series Health Datasets using Unit-wise Batch Standardization: Algorithm Development and Validation

연구단보; 음성학적 과학수사 용도의 달팽이관 모사 스펙트럼을 이용하는 딥러닝에 기반한 대화자 식별 알고리즘

ECG Authentication Based on Non-Linear Normalization under Various Physiological Conditions

Suh Lab

교수님 소개

김인영

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Cerebral blood flow estimation using NIRS in cardiac arrest patients: correlation with ROSC outcomes

Personalized and Explainable Blood Pressure Estimation from PPG via Hybrid CNN–Morphological Features

Visuospatial dysfunction indicates an increased risk of rapid dementia conversion in Parkinson's disease

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

김인영

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Cerebral blood flow estimation using NIRS in cardiac arrest patients: correlation with ROSC outcomes

Personalized and Explainable Blood Pressure Estimation from PPG via Hybrid CNN–Morphological Features

Visuospatial dysfunction indicates an increased risk of rapid dementia conversion in Parkinson's disease

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집