Minsoo Yeo is currently a researcher at TaeWoong Medical Digital Healthcare Division. He received a BS degree in biomedical engineering from Kwangwoon University.

His research interests include biomedical signal processing and embedded software, with a focus on sleep stage detection using wearable sensors.

Publications

Journal Articles

• M. Yeo, Y. Koo, C. Park, “Automatic detection of sleep stages based on accelerometer signals from a wristband”, IEEK Transactions on Smart Processing and Computing, Korea, 2016

Conference Papers

• M Yeo, Y Koo, C Park, “손목 가속도 센서와 머신러닝 알고리즘을 이용한 자동 수면 패턴 분류”, 2018 대한의용생체공학회 춘계학술대회, 충주, May 2018

• M. Yeo, Y. Koo, Y. Yoon, T. Hwang, J. Ryu, J. Song, C. Park, “Flow-based Malware Detection Using Convolutional Neural Network”, The 32nd International ICOIN (Conference on Information Networking), Chiang Mai, Thailand, 2018

• 여민수, 구용서, 박철수, “Convolutional Neural Network를 이용한 IoT기기의 주관적 수면데이터의 패턴 분석”, 제 52회 대한생체의공학회 추계학술대회, 전주, 2017

• 여민수, 류지우, 박철수, “손목 팔찌의 가속도 자료를 사용한 자동 수면단계 감지 방법”, 제 24회 한국 반도체 학술대회, 강원도, 2017

• Heejun Lee, Minsoo Yeo, Youngjoo Kim, Hongjoo Lee, Junhee Jang, Jinwoo Yang, and Cheolsoo Park, “Effects of Visual and Auditory Delta Band Stimuli on Sleep”, IBEC (International Biomedical Engineering), Korea University, 2016

• M. Yeo, W. Park, D. Choi, D. Kim, S. Yoon, J. Ryu, Y. Koo and C. Park, “Automated Sleep Scoring Using Accelerometer Data from Wrist band”, IBEC (International Biomedical Engineering), Korea University, 2016

Patents

• 박철수, 석우준, 여민수, 이희준, 김영철, 전태욱, “사용자의 졸음의 정도 혹은 집중력의 정도를 측정하기 위한 방법 및 이를 위한 웨어러블 디바이스 (Wearable device and method for measuring the degree of drowsiness or concentration of the user)”, 출원번호: 10-2017-0058645, May 2017

Awards

• 우수 포스터상, 대한의용생체공학회 춘계학술대회, May 2018

  • “손목 가속도 센서와 머신러닝 알고리즘을 이용한 자동 수면 패턴 분류”

• 최우수 포스터 논문상, 대한생체의공학회 추계학술대회, Nov. 2017

  • “Convolutional Neural Network를 이용한 IoT기기의 주관적 수면데이터의 패턴 분석”

• Best Paper Award, Poster session, IBEC 2016, Nov. 2016

  • “Effects of Visual and Auditory Delta Band Stimuli on Sleep”

• Top Student Paper Award, Oral session, IBEC 2016, Nov. 2016

  • “Automated Sleep Scoring Using Accelerometer Data from Wrist band”