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 EMBC 2019 (July 2019, Berlin, Germany) 2019/08/14 11:13 am
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- H.S.Eom, S.W.Han, K.S.Park and C.S.Park
- Data-Driven End-To-End Deep Learning Architecture for Long-Term Blood Pressure Estimation
- S.H.Choi, H.B.Kwon, H.W.Jin, M.H.Lee, Y.J.Lee and K.S.Park
- Ballistocardiogram-Based Sleep Stage Classification Using Long Short-Term Memory Networks
- J.H.Kim, D.S.Lee, D.S.Sung, J.Kim and K.S.Park
- EEG-ECG Fusion-Based Multi-Modal Personal Authentication Algorithm Using Deep Learning Methods
- H.S.Eom, S.W.Han, D.S.Lee, K.S.Park and C.S.Park
- Blood Pressure Estimation Based on Convolutional Neural Network Using ECG, PPG and BCG
- D.S.Lee, J.H.Kim, H.B.Kwon and K.S.Park
- Preliminary Study: Person Identification Using Multi-Channel ECG Measured on the Chest
- H.B.Kwon, S.H.Choi, H.W.Jin, Y.J.Lee and K.S.Park
- Cardiopulmonary Coupling As a New Parameter for Non-Intrusive Sleep Staging Based on Polyvinylidene Fluoride Sensor
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2015 BMSIL/SNU All Reserved.
TEL : +82-2-2072-3135, FAX : +82-2-3676-1175, E-mail : pks@bmsil.snu.ac.kr
Department of Biomedical Engineering, College of Medicine, Seoul National University,
103, Daehak-ro, Jongno-gu, Seoul, 110-799, Republic of Korea
Supported by ONTOIN
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