Heesang Eom is currently a researcher at EMMA Healthcare. He received a BS degree in software engineering from Korea Polytechnic University in Gyeonggi, South Korea.

His research interests include bio-signal processing, deep learning algorithms and model optimization, with a focus on blood pressure estimation and medical image analysis.

Publications

Journal Articles

• Heesang Eom, Dongseok Lee, Seungwoo Han, Yuli Sun Hariyani, Yonggyu Lim, Illsoo Sohn, Kwangsuk Park, Cheolsoo Park, “End-to-End Deep Learning Architecture for Continuous Blood Pressure Estimation Using Attention Mechanism”, Sensors, 2020, 20(8), 2338, SCIE

• Yuli Sun Hariyani, Heesang Eom, Cheolsoo Park, “DA-CapNet: Dual Attention Deep Learning based on U-Net for Nailfold Capillary Segmentation”, IEEE Access, vol. 8, pp. 10543-10553, 2020, SCIE

• S. Han, W. Lee, H. Eom, J. Kim and C. Park, “Detection of Arrhythmia using 1D Convolution Neural Network with LSTM model”, IEIE Transactions on Smart Processing and Computing, Vol.9 No.04, 2020

Patents

• 박철수, 엄희상, 한승우, 율리 순 하리야니, “사용자의 혈압을 추정하기 위한 장치 및 방법 (Apparatus and Method for estimating user’s Blood Pressure)”, 출원번호: 10-2019-0179386, Dec. 2019

• 박철수, 율리 순 하리야니, 엄희상, “사용자 인증 장치 및 방법 (Apparatus and method for learning user’s operation intention using artificial neural network)”, 출원번호: 10-2018-0160757, Dec. 2018