M.S Course

Bio-Computing & Machine Learning Laboratory

M.S Course

Youjung Seo

Youjung Seo received her BS degree in psychology from Chung-Ang university, South Korea.
Her research interests include in biomedical signal processing, e-health and machine learning algorithms.

Journal Article

Continuous Blood Pressure Estimation using a 1D Convolutional Neural Network and an Attention Mechanism
Seo, Y., Lee, J., Sunarya, U., Lee, K., Park, C. (2022), “Continuous Blood Pressure Estimation using a 1D Convolutional Neural Network and an Attention Mechanism” IEIE Transactions on Smart Processing & Computing, SCIE, IF=0.83



Communications

PPG, ECG 신호를 사용한 머신러닝 기반 혈압 추정 및 보정 알고리즘
서유정, 이원규, 손량희, 박철수, “PPG, ECG 신호를 사용한 머신러닝 기반 혈압 추정 및 보정 알고리즘”, 대한전자공학회 하계종합학술대회, 2021.06.30-07.02

머신러닝 기반 혈압 보정 알고리즘
서유정, 손량희, 박철수, “머신러닝 기반 혈압 보정 알고리즘”, 대한의용생체공학회 온라인 춘계학술대회, Online, 2021.05.12-14

웨어러블 디바이스를 이용한 PTT 혈압 예측을 위한 머신러닝 알고리즘 보정 방법
서유정, 이원규, 손량희, 박철수, “웨어러블 디바이스를 이용한 PTT 혈압 예측을 위한 머신러닝 알고리즘 보정 방법”, 대한전자공학회 추계학술대회, 광주, 2020.11.27
more detail >>

Ballistocardiogram을 이용한 딥러닝 기반 혈압 추정
서유정, 이원규, 고건영, 김대현, 조현우, 최재혁, 유재원, 손량희, 박철수, “Ballistocardiogram을 이용한 딥러닝 기반 혈압 추정”, 대한전자공학회 신호처리합동학술대회, Online, 2020.09.24-25



Patent

누워 지내는 환자를 헬스케어하기 위한 장치 (APPARATUS FOR HEALTH CARE OF PATIENTS WHO LIE DOWN)
박철수, 서유정, 유현수, 박윤태, 출원번호: 10-2021-0188903, 출원일자: 2021년 12월 27일

사용자의 손목에 착용 가능한 혈압 측정 장치 (BLOOD PRESSURE MEASURING DEVICE WERABLE ON WRIST OF USER)
박철수, 서유정, 이원규, 엄희상, 손량희, 출원번호: 10-2020-0160459, 출원일자: 2020년11월2일

Hyunsoo Yu

Hyunsoo Yu received his BS degree in Robotics Engineering from Kwangwoon University in Seoul, South Korea.
His reasearch interests include in experiment setting, signal processing, machine learning and artificial Intelligence.
He is managing all experimental devices in this lab.

Journal Article

Automatic Sleep Scoring Using Intrinsic Mode based on Interpretable Deep Neural Networks.
Baek, J., Lee, C., Yu, H., Baek, S., Lee, S., Leec, S. and Park, C. (2022). Automatic Sleep Scoring Using Intrinsic Mode based on Interpretable Deep Neural Networks. IEEE Access, pp.1–1.

Explainable Sleep Staging Algorithm using a Single-channel Electroencephalogram.
Suwhan Baek, Jeawoo Baek, Hyunsoo Yu, Chungseop Lee, Cheolsoo Park.(2022).Explainable Sleep Staging Algorithm using a Single-channel Electroencephalogram. IEIE Transactions on Smart Processing & Computing,11(1),8-13.

Effect of a Recliner Chair with Rocking Motions on Sleep Efficiency.
Baek, S.; Yu, H.; Roh, J.; Lee, J.; Sohn, I.; Kim, S.; Park, C. Effect of a Recliner Chair with Rocking Motions on Sleep Efficiency. Sensors 2021, 21, 8214. (Co-first author)

End-to-end Automatic Sleep Staging Algorithm using Convolution Neural Network and Bidirectional LSTM.
Jaewoo Baek, Suwan Baek, HyunSu Yu, JungHwan Lee, Cheolsoo Park.(2021).End-to-end Automatic Sleep Staging Algorithm using Convolution Neural Network and Bidirectional LSTM. IEIE Transactions on Smart Processing & Computing, 10(6), 464-468.

Effect of an Inflatable Air Mattress with Variable Rigidity on Sleep Quality
Yu H, Shin O, Kim S, Park C, “Effect of an Inflatable Air Mattress with Variable Rigidity on Sleep Quality”, MDPI Sensors 2020, 20, 5317
more details >>


Communications

Convolutional Neural Network based Empirical Mode Decomposition for Time Series Data Analysis
Hyunsoo Yu, Suwhan Baek, Cheolsoo Park. “Convolutional Neural Network based Empirical Mode Decomposition for Time Series Data Analysis”, Summer Annual Conference of IEIE, Jun, 2021, Jeju

A Binary Sleep Classification of BCG Signal using Random Search-Optimized Random Forest
Unang Sunarya, Hyunsoo Yu, Sayup Kim, Cheolsoo Park. “A Binary Sleep Classification of BCG Signal using Random Search-Optimized Random Forest”, Summer Annual Conference of IEIE, Jun, 2021, Jeju

Decision Support System for Estimating Sleep Stages Using Single Channel EEG with Attention Mechanism
Suwhan Baek, Jaewu Baek, Hyunsoo Yu, Cheolsoo Park. “Decision Support System for Estimating Sleep Stages Using Single Channel EEG with Attention Mechanism”, Summer Annual Conference of IEIE, Jun, 2021, Jeju

Sleep Staging Automation from EEG signal with CNN
Suwhan Baek, Hyunsoo Yu, Cheolsoo Park. “Sleep Staging Automation from EEG signal with CNN”, Autumn Annual Conference of IEIE, Nov, 2020, Gwangju
more details >>

Comparison of Sleep Quality according to Swing Trajectories of the Reclining Mechanism
Jongryun Roh, Hyunsoo Yu, Cheolsoo Park, Sayup Kim. “Comparison of Sleep Quality according to Swing Trajectories of the Reclining Mechanism”, Autumn Conference Ergonomics Society of Korea, Oct, 2020, Jeju more details >>

Convolutional Neural Network Model Optimization for Single Channel Sleep Electroencephalogram Analysis
Hyunsoo Yu, Seungwoo Han, Cheolsoo Park, “Convolutional Neural Network Model Optimization for Single Channel Sleep Electroencephalogram Analysis”, Summer Annual Conference of IEIE, Aug. 2020, Jeju
more details >>

Youngshin Kang

Young-shin Kang received the B.S. degree in computer engineering from Far East University, Chungbuk, South Korea.
She is currently pursuing the M.S. degree in computer engineering at Kwangwoon University, Seoul, South Korea.
Her research interests include lightweight deep learning algorithms, signal processing, and the Internet of Things.

Journal Article

Communications

뇌파 신호를 이용한 딥러닝 기반 개인 인증 연구 강영신, 엄희상, 김주형, 이현빈, 박철수, “뇌파 신호를 이용한 딥러닝 기반 개인 인증 연구”, 대한전자공학회 신호처리합동학술대회, 2020.09.24-25, Online

Generative Adversarial Network를 이용한 ECG 기반 개인인증 시스템의 데이터 프라이버시 보존
강영신, 이현빈, 박철수, “Generative Adversarial Network를 이용한 ECG 기반 개인인증 시스템의 데이터 프라이버시 보존”, 대한전자공학회 하계종합학술대회, Jun. 2021, Jeju

A Secure and Privacy-Preserving ECG-based Personal Authentication
Y.Kang, H.Lee, Y.Shin, C.Park, “A Secure and Privacy-Preserving ECG-based Personal Authentication”, 2021 IEEE Internayional Conference on Smart Internet of Things (SmartIoT). IEEE, 2021, Onlin

Patent

사용자 인증이 가능한 마스크 장치 (MASK DEVICE CAPABLE OF USER AUTHENTICATION)
박철수, 김주형, 강영신, 유현수, 출원번호: 10-2020-0159294, 출원일자: 2020.11.24

사용자 인증시 사용자 정보 유출을 방지하기 위한 방법 및 장치
박철수, 강영신, 이현빈, 신영주, 출원번호: 10-2021-0146048, 출원일자: 2021.10.28, 출원국가: 대한민국

사용자 인증이 가능한 마스크 장치 (MASK DEVICE CAPABLE OF USER AUTHENTICATION)
박철수, 김주형, 강영신, 유현수, 출원번호:PCT/KR2021/017307, 출원일자: 2021.11.24, 출원국가: PCT에 기속되는 모든 체약국

Saehim Kwon

Saehim Kwon received his BS degree in Software Engineering from Gangneung-Wonju National University in Wonju, South Korea.
His research interests include e-health, deep learning and machine learning algorithms.

Journal Article



Communications



Choongseop Lee

Choongseop Lee(이충섭) received his BS degree in Computer Software and Engineering from Kwangwoon University in Seoul, South Korea.
His reasearch interests include machine learning and computational neuroscience.

Journal Article

Automatic Sleep Scoring Using Intrinsic Mode based on Interpretable Deep Neural Networks.
Jaewoo Baek, Choongseop Lee, Hyunsoo Yu, Suwhan Baek, Seokmin Lee, Seungmin Lee, and Cheolsoo Park, “Automatic Sleep Scoring Using Intrinsic Mode based on Interpretable Deep Neural Networks.”, IEEE Access, 30 March 2022, IF=3.367

스마트 헬스 시티를 위한 ECG 기반 부정맥 감지 SNN 알고리즘
이충섭, 이원규, 한승우, & 박철수, “스마트 헬스 시티를 위한 ECG 기반 부정맥 감지 SNN 알고리즘”,2020, 한국통신학회논문지, 45(12), 2193-2201.


Communications

시계열 데이터 분석을 위한 시간 인코딩 기반 SNN 연구 이충섭, 박철수, “시계열 데이터 분석을 위한 시간 인코딩 기반 SNN 연구”, 대한전자공학회 하계종합학술대회, Jun. 2021, Jeju


Patent

손톱주름 모세혈관 속 백혈구의 수를 산출하기 위한 뉴로모픽 컴퓨팅 장치 (NEUROMORPHIC COMPUTING DEVICE FOR CALCULATING THE NUMBER OF WHITE BLOOD CELLS IN THE CAPILLARIES OF THE NAIL FOLD)
박철수, 이충섭, 율리 선 하리야니, 백수환
출원번호: 10-2021-0190464
출원일자: 2021년 12월 28일

뉴로모픽 컴퓨팅 장치 (NEUROMORPHIC COMPUTING DEVICE)
박철수, 이원규, 이충섭
출원번호: 10-2020-0161286
출원일자: 2020년 11월 26일

Junghwan Lee

Junghwan Lee is in the MSc Program at the Bio Computing & Machine Learning Laboratory (BCML) in the Department of Computer Engineering at Kwangwoon University, Seoul, Republic of Korea.
His research interests include machine learning, and deep learning algorithms.

Journal Article

End-to-end Convolutional Neural Network Design for Automatic Detection of Influenza Virus
Junghwan Lee, Heesang Eom, Yuli Sun Hariyani, Cheonjung Kim, Yongkyoung Yoo, Junghoon Lee and Cheolsoo Park. “End-to-end Convolutional Neural Network Design for Automatic Detection of Influenza Virus.” IEIE Transactions on Smart Processing & Computing 10.1 (2021): 31-36.
more details >>


Communications

Complex-valued를 사용한 CNN 구조를 이용하여 Remote PPG 예측 모델 구현
이정환, 박철수, “Complex-valued를 사용한 CNN 구조를 이용하여 Remote PPG 예측 모델 구현”, 대한전자공학회 하계종합학술대회, Jun. 2021, Jeju


Suwhan Baek

Suwhan Baek is junior in computer engineering from Kwangwoon University in Seoul, South Korea.
His research interests include overall Medical AI and Auto ML.
He is also attracted by reinforcement learning, generative models, and SNN

Journal Article

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Communications

Deep Learning Based Heart Rate Estimation Using Smart Shoes Sensor Baek, Suwhan, et al. “Deep Learning Based Heart Rate Estimation Using Smart Shoes Sensor”, 2020 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). IEEE, 2020.

Arrhythmia Classification Using 1D-2D Conversion
S. Baek, S. Han, J. Lee, W. Lee, C. Park, “Arrhythmia Classification Using 1D-2D Conversion”, u-Healthcare 2019, Dec 2019, Kookmin University

Patents

“Method For Measuring Health Condition Of User And Apparatus Therefor”, S. Baek, C. Park, Kor-patents 10-2019-0157809, 2019.11

Jaewoo Baek

Jaewoo Beak(백재우) is senior in computer engineering from Kwangwoon University in Seoul, South Korea.
His reasearch interests include biological signal processing ,machine learning, deep learning and reinforcement learning.

Journal Article

Explainable Sleep Staging Algorithm using a Single-channel Electroencephalogram.
Suwhan Baek, Jeawoo Baek, Hyunsoo Yu, Chungseop Lee, Cheolsoo Park.(2022).Explainable Sleep Staging Algorithm using a Single-channel Electroencephalogram. IEIE Transactions on Smart Processing & Computing,11(1),8-13.

Automatic Sleep Scoring Using Intrinsic Mode based on Interpretable Deep Neural Networks.
Jaewoo Baek, Choongseop Lee, Hyunsoo Yu, Suwhan Baek, Seokmin Lee, Seungmin Lee, and Cheolsoo Park, “Automatic Sleep Scoring Using Intrinsic Mode based on Interpretable Deep Neural Networks.”, IEEE Access, 30 March 2022, IF=3.367
more details >>

End-to-end Automatic Sleep Staging Algorithm using Convolution Neural Network and Bidirectional LSTM.
Jaewoo Baek, Suwan Baek, HyunSu Yu, JungHwan Lee, and Cheolsoo Park. “End-to-end Automatic Sleep Staging Algorithm using Convolution Neural Network and Bidirectional LSTM.”, IEIE Transactions on Smart Processing & Computing, Dec 2021, 464-468, IF=0.83
more details >>



Communications

Decision Support System for Estimating Sleep Stages Using Single Channel EEG with Attention Mechanism
Suwhan Baek, Jaewu Baek, Hyunsoo Yu, Cheolsoo Park. “Decision Support System for Estimating Sleep Stages Using Single Channel EEG with Attention Mechanism”, Summer Annual Conference of IEIE, Jun, 2021, Jeju

EEG 단체널 기반 Inception 네트워크와 순환 신경망을 결합한 자동 수면 단계 분류기
백재우, 이석민, 이영준, 이호찬, 박철수, “EEG 단체널 기반 Inception 네트워크와 순환 신경망을 결합한 자동 수면 단계 분류기”, 대한전자공학회 하계학술대회, 제주, 2021.06



Award

제 5회 산학연계 SW프로젝트 전시회 총장상(2021)
프로젝트명: 딥러닝 및 Auto ML 기반 시계열 데이터 분석을 통한 일상 생활 패턴 분석

Jihwan Won

Jihwan Won received his BS degree in mechanical engineering from Dankook university, South Korea.
His research interests include machine learning, and deep learning algorithms.

Journal Article

 



Communications

 

Geunbo Yang

Geunbo Yang received his BS degree in Computer Engineering from Kwangwoon University in seoul, South Korea.
His research interests include machine learning algorithms, and SNN.

Journal Article

Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning J Kim, G Yang, J Kim, S Lee, KK Kim, C Park, “Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning”, MDPI Sensors 2021, 21, 1568, IF=3.735
more details >>

Communications