BIO-2.6
JOINT HYPOGLYCEMIA PREDICTION AND GLUCOSE FORECASTING VIA DEEP MULTI-TASK LEARNING
Mu Yang, University of Texas at Dallas, United States of America; Darpit Dave, Madhav Erraguntla, Gerard Cote, Ricardo Gutierrez-Osuna, Texas A&M University, United States of America
Session:
Machine Learning for Physiological Signals I
Track:
Biomedical Imaging and Signal Processing
Location:
Gather Area N
Presentation Time:
Sun, 8 May, 23:00 - 23:45 China Time (UTC +8)
Sun, 8 May, 15:00 - 15:45 UTC
Sun, 8 May, 15:00 - 15:45 UTC
Session Chair:
Arvind Rao, University of Michigan
Session BIO-2
BIO-2.1: HEART RATE AND OXYGEN SATURATION ESTIMATION FROM FACIAL VIDEO WITH MULTIMODAL PHYSIOLOGICAL DATA GENERATION
Yusuke Akamatsu, Yoshifumi Onishi, Hitoshi Imaoka, NEC Corporation, Japan
BIO-2.2: EMGSE: ACOUSTIC/EMG FUSION FOR MULTIMODAL SPEECH ENHANCEMENT
Kuan-Chen Wang, National Taiwan University, Taiwan; Kai-Chun Liu, Hsin-Min Wang, Yu Tsao, Academia Sinica, Taiwan
BIO-2.3: A DILATED RESIDUAL VISION TRANSFORMER FOR ATRIAL FIBRILLATION DETECTION FROM STACKED TIME-FREQUENCY ECG REPRESENTATIONS
Sawon Pratiher, Apoorva Srivastava, Yedla Bindu Priyatha, Nirmalya Ghosh, Amit Patra, Indian Institute of Technology Kharagpur, India
BIO-2.4: CONTRASTIVE HEARTBEATS: CONTRASTIVE LEARNING FOR SELF-SUPERVISED ECG REPRESENTATION AND PHENOTYPING
Crystal T. Wei, Ming-En Hsieh, Chien-Liang Liu, Vincent S. Tseng, National Yang Ming Chiao Tung University, Taiwan
BIO-2.5: UBIQUITOUS PHYSIOLOGICAL PREDICTION OF SUD PATIENTS’ WELLNESS STATE USING MEMORY-BASED CONVOLUTIONAL MODELS
Omid Dehzangi, Paria Jeihouni, Victor Finomore, Nasser M. Nasrabadi, Ali Rezai, West Virginia University, United States of America; Jad Ramadan, West Virginia Univeristy, United States of America
BIO-2.6: JOINT HYPOGLYCEMIA PREDICTION AND GLUCOSE FORECASTING VIA DEEP MULTI-TASK LEARNING
Mu Yang, University of Texas at Dallas, United States of America; Darpit Dave, Madhav Erraguntla, Gerard Cote, Ricardo Gutierrez-Osuna, Texas A&M University, United States of America