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WE3.I: Biomedical Signal Analysis

Session Type: Poster
Time: Wednesday, 6 May, 16:30 - 18:30
Location: On-Demand
Session Chair: Se Young Chun, Ulsan National Institute of Science and Technology
 
   WE3.I.1: HIDDEN MARKOV MODELS FOR SEPSIS DETECTION IN PRETERM INFANTS
         Antoine Honoré; KTH Royal Institute of Technology
         Dong Liu; KTH Royal Institute of Technology
         David Forsberg; Karolinska Institutet
         Karen Coste; Karolinska Institutet
         Eric Herlenius; Karolinska Institutet
         Saikat Chatterjee; KTH Royal Institute of Technology
         Mikael Skoglund; KTH Royal Institute of Technology
 
   WE3.I.2: BLOOD PRESSURE ESTIMATION FROM PPG SIGNALS USING CONVOLUTIONAL NEURAL NETWORKS AND SIAMESE NETWORK
         Oded Schlesinger; Technion - Israel Institute of Technology
         Nitai Vigderhouse; Technion - Israel Institute of Technology
         Danny Eytan; Technion - Israel Institute of Technology
         Yair Moshe; Technion - Israel Institute of Technology
 
   WE3.I.3: SPEECH BREATHING ESTIMATION USING DEEP LEARNING METHODS
         Venkata Srikanth Nallanthighal; Philips Research, Eindhoven and Radboud University, Nijmegen
         Aki Härmä; Philips Research, Eindhoven
         Helmer Strik; Radboud University
 
   WE3.I.4: A FAST NON-CONTACT VITAL SIGNS DETECTION METHOD BASED ON REGIONAL HIDDEN MARKOV MODEL IN A 77GHZ LFMCW RADAR SYSTEM
         Zengyang Mei; Southeast University
         Qisong Wu; Southeast University
         Zhengyu Hu; Southeast University
         Jun Tao; Southeast University
 
   WE3.I.5: ROBUST LIKELIHOOD RATIO TEST USING ALPHA-DIVERGENCE
         Aref Miri Rekavandi; University of Melbourne
         Abd-Krim Seghouane; University of Melbourne
         Robin Evans; University of Melbourne
 
   WE3.I.6: USING X-VECTORS TO AUTOMATICALLY DETECT PARKINSON'S DISEASE FROM SPEECH
         Laureano Moro-Velazquez; Johns Hopkins University
         Jesús Villalba; Johns Hopkins University
         Najim Dehak; Johns Hopkins University
 
   WE3.I.7: LEARNING A COMMON GRANGER CAUSALITY NETWORK USING A NON-CONVEX REGULARIZATION
         Parinthorn Manomaisaowapak; Chulalongkorn University
         Jitkomut Songsiri; Chulalongkorn University
 
   WE3.I.8: SYNTHETIC DATA GENERATION THROUGH STATISTICAL EXPLOSION: IMPROVING CLASSIFICATION ACCURACY OF CORONARY ARTERY DISEASE USING PPG
         Sakyajit Bhattacharya; Tata Consultancy Services
         Oishee Mazumder; Tata Consultancy Services
         Dibyendu Roy; Tata Consultancy Services
         Aniruddha Sinha; Tata Consultancy Services
         Avik Ghose; Tata Consultancy Services
 
   WE3.I.9: HIGH-ACCURACY CLASSIFICATION OF ATTENTION DEFICIT HYPERACTIVITY DISORDER WITH L2,1-NORM LINEAR DISCRIMINANT ANALYSIS
         Yibin Tang; Hohai University
         Xufei Li; Hohai University
         Ying Chen; Columbia University
         Yuan Zhong; Nanjing Normal University
         Aimin Jiang; Hohai University
         Xiaofeng Liu; Hohai University
 
   WE3.I.10: A NEURAL NETWORK-BASED SPIKE SORTING FEATURE MAP THAT RESOLVES SPIKE OVERLAP IN THE FEATURE SPACE
         Jasper Wouters; Katholieke Universiteit Leuven
         Fabian Kloosterman; Neuro-Electronics Research Flanders
         Alexander Bertrand; Katholieke Universiteit Leuven
 
   WE3.I.11: GAIT PHASE SEGMENTATION USING WEIGHTED DYNAMIC TIME WARPING AND K-NEAREST NEIGHBORS GRAPH EMBEDDING
         Tze-Shen Chen; National Tsing Hua University
         Ting-Ya Lin; National Tsing Hua University
         Y.-W. Peter Hong; National Tsing Hua University
 
   WE3.I.12: AUTOMATIC CLASSIFICATION OF VOLUMES OF WATER USING SWALLOW SOUNDS FROM CERVICAL AUSCULTATION
         Siddharth Subramani; Indian Institute of Science
         Achuth Rao M V; Indian Institute of Science
         Divya Giridhar; Indian Institute of Science
         Prasanna Suresh Hegde; Health Care Ltd Global Enterprises
         Prasanta Kumar Ghosh; Indian Institute of Science, Bangalore