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-3.5

PARAMETRIC MODELING OF HUMAN WRIST FOR BIOIMPEDANCE-BASED PHYSIOLOGICAL SENSING

Kaan Sel, Noah Huerta, Roozbeh Jafari, Texas A&M University, United States of America; Michael S. Sacks, The University of Texas at Austin, United States of America

Session:
Deep Learning for Physiological Signal Analysis I

Track:
Biomedical Imaging and Signal Processing

Location:
Gather Area N

Presentation Time:
Mon, 9 May, 21:00 - 21:45 China Time (UTC +8)
Mon, 9 May, 13:00 - 13:45 UTC

Session Chair:
Toshihisa Tanaka,
Presentation
Discussion
Resources
Session BIO-3
BIO-3.1: SEGNET-BASED DEEP REPRESENTATION LEARNING FOR DYSPHAGIA CLASSIFICATION
Siddharth Subramani, Achuth Rao M V, Anwesha Roy, Prasanta Ghosh, Indian Institute of Science, India; Prasanna Suresh Hegde, Health Care Global Enterprises Ltd, India
BIO-3.2: ROBUST COLLABORATIVE LEARNING FOR SEQUENCE MODELLING
Francois Buet-Golfouse, University College London, United Kingdom of Great Britain and Northern Ireland; Hans Roggeman, Islam Utyagulov, Independent, United Kingdom of Great Britain and Northern Ireland
BIO-3.3: A SELF-SUPERVISED PRE-TRAINING FRAMEWORK FOR VISION-BASED SEIZURE CLASSIFICATION
Jen-Cheng Hou, Monique Thonnat, University of Côte d‘Azur, INRIA, France; Aileen McGonigal, Fabrice Bartolomei, Aix-Marseille University, France
BIO-3.4: DESIGN OF REAL-TIME SYSTEM BASED ON MACHINE LEARNING FOR SNORING AND OSA DETECTION
Huaiwen Luo, Lu Zhang, Lianyu Zhou, Xu Lin, Zehuai Zhang, Mingjiang Wang, Harbin Institute of Technology, Shenzhen, China
BIO-3.5: PARAMETRIC MODELING OF HUMAN WRIST FOR BIOIMPEDANCE-BASED PHYSIOLOGICAL SENSING
Kaan Sel, Noah Huerta, Roozbeh Jafari, Texas A&M University, United States of America; Michael S. Sacks, The University of Texas at Austin, United States of America
BIO-3.6: PRELIMINARY RESULTS ON THE GENERATION OF ARTIFICIAL HANDWRITING DATA USING A DECOMPOSITION-RECOMBINATION STRATEGY
Jose Fernando Adrán Otero, Oscar Solans Caballer, Open University of Catalonia, Spain; Pere Marti-Puig, Jordi Solé-Casals, University of Vic - Central University of Catalonia, Spain; Zhe Sun, RIKEN, Japan; Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan