IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
BIO-9: Deep Learning for Physiological Signal Analysis II
Thu, 12 May, 20:00 - 20:45 China Time (UTC +8)
Thu, 12 May, 12:00 - 12:45 UTC
Location: Gather Area N
Session Chair: Petar Djurik, Stony Brook University
Track: Biomedical Imaging and Signal Processing

BIO-9.1: Boost Ensemble Learning for Classification of CTG Signals

Marzieh Ajirak, Petar Djuric, Stony Brook University, United States of America; Cassandra Heiselman, Gerald Quirk, Stony Brook Medicine, United States of America

BIO-9.3: IMPROVING PHASE-RECTIFIED SIGNAL AVERAGING FOR FETAL HEART RATE ANALYSIS

Tong Chen, Guanchao Feng, Cassandra Heiselman, J. Gerald Quirk, Petar M. Djuric, Stony Brook University, United States of America

BIO-9.4: UNSUPERVISED CLUSTERING AND ANALYSIS OF CONTRACTION-DEPENDENT FETAL HEART RATE SEGMENTS

Liu Yang, Petar M. Djurić, Stony Brook University, United States of America; Cassandra Heiselman, J. Gerald Quirk, Stony Brook University Hospital, United States of America

BIO-9.5: A METHOD FOR DETECTING CORONARY ARTERY DISEASE USING NOISY ULTRASHORT ELECTROCARDIOGRAM RECORDINGS

Orestis Apostolou, Vasileios Charisis, Georgios Apostolidis, Aristotle University of Thessaloniki, Greece; Leontios J. Hadjileontiadis, Aristotle University of Thessaloniki, Khalifa University, Greece

BIO-9.6: MULTI-TASK GAUSSIAN PROCESS REGRESSION FOR THE DETECTION OF SLEEP CYCLES IN PREMATURE INFANTS

Nele Sophie Brügge, University of Lübeck, Germany; Jan Grasshoff, Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering, Germany; Arne Weigenand, Drägerwerk AG & Co. KGaA, Germany; Philipp Rostalski, University of Lübeck and Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering, Germany