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My ICASSP 2019 Schedule

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BISP-P5: Cardiological Signal Processing

Session Type: Poster
Time: Wednesday, May 15, 16:00 - 18:00
Location: Poster Area K, West Bar, First Floor
Session Chair: Delaram Jarchi, University of Kent
 
  BISP-P5.1: BASELINE WANDER REMOVAL AND ISOELECTRIC CORRECTION IN ELECTROCARDIOGRAMS USING CLUSTERING
         Kjell Le; University of Stavanger
         Trygve Eftestøl; University of Stavanger
         Kjersti Engan; University of Stavanger
         Øyunn Kleiven; Stavanger University Hospital
         Stein Ørn; Stavanger University Hospital / University of Stavanger
 
  BISP-P5.2: NON-HARMONIC ANALYSIS BASED INSTANTANEOUS HEART RATE ESTIMATION FROM PHOTOPLETHYSMOGRAPHY
         Fangyu Li; University of Georgia
         WenZhan Song; University of Georgia
         Changwei Li; University of Georgia
         Aiying Yang; Beijing Institute of Technology
 
  BISP-P5.3: AN ENSEMBLE OF DEEP RECURRENT NEURAL NETWORKS FOR P-WAVE DETECTION IN ELECTROCARDIOGRAM
         Abdolrahman Peimankar; Technical University of Denmark
         Sadasivan Puthusserypady; Technical University of Denmark
 
  BISP-P5.4: EFFICIENT LOSSLESS COMPRESSION SCHEME FOR MULTI-CHANNEL ECG SIGNAL
         Tsung-Han Tsai; National Central University
         Fong-Lin Tsai; National Central University
 
  BISP-P5.5: HEART RATE ESTIMATION FROM PHONOCARDIOGRAM SIGNALS USING NON-NEGATIVE MATRIX FACTORIZATION
         Nafissa Dia; Université Grenoble Alpes, CNRS, CHU Grenoble Alpes, Grenoble INP, TIMC-IMAG
         Julie Fontecave-Jallon; Université Grenoble Alpes, CNRS, CHU Grenoble Alpes, Grenoble INP, TIMC-IMAG
         Pierre-Yves Guméry; Université Grenoble Alpes, CNRS, CHU Grenoble Alpes, Grenoble INP, TIMC-IMAG
         Bertrand Rivet; Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, Grenoble, France
 
  BISP-P5.6: LOW-POWER CONTINUOUS HEART AND RESPIRATION RATES MONITORING ON WEARABLE DEVICES
         Illya Degtyarenko; Samsung R&D Institute Ukraine
         Kostyantyn Slyusarenko; Samsung R&D Institute Ukraine
         Andrii Omelchenko; Samsung R&D Institute Ukraine
         Volodymyr Riabov; Samsung R&D Institute Ukraine
         Sviatoslav Chyzhyk; Samsung R&D Institute Ukraine
 
  BISP-P5.7: A LSTM AND CNN BASED ASSEMBLE NEURAL NETWORK FRAMEWORK FOR ARRHYTHMIAS CLASSIFICATION
         Fan Liu; Northwestern Polytechnical University
         Xingshe Zhou; Northwestern Polytechnical University
         Jinli Cao; La Trobe University
         Zhu Wang; Northwestern Polytechnical University
         Hua Wang; Victoria University
         Yanchun Zhang; Victoria University
 
  BISP-P5.8: INTER- AND INTRA- PATIENT ECG HEARTBEAT CLASSIFICATION FOR ARRHYTHMIA DETECTION: A SEQUENCE TO SEQUENCE DEEP LEARNING APPROACH
         Sajad Mousavi; Northern Arizona University
         Fatemeh Afghah; Northern Arizona University
 
  BISP-P5.9: EMPIRICAL WAVELET TRANSFORM BASED LUNG SOUND REMOVAL FROM PHONOCARDIOGRAM SIGNAL FOR HEART SOUND SEGMENTATION
         Ajay Babu Kambhampati; IIT Bhubaneswar
         Barathram Ramkumar; IIT Bhubaneswar
         M Sabarimalai Manikandan; IIT Bhubaneswar
 
  BISP-P5.10: SHORT-SEGMENT HEART SOUND CLASSIFICATION USING AN ENSEMBLE OF DEEP CONVOLUTIONAL NEURAL NETWORKS
         Fuad Noman; Universiti Teknologi Malaysia
         Chee-Ming Ting; Universiti Teknologi Malaysia
         Sh-Hussain Salleh; Universiti Teknologi Malaysia
         Hernando Ombao; King Abdullah University of Science and Technology