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-4.5

An Experimental Study on Transferring Data-driven Image Compressive Sensing to Bioelectric Signal

Zhikang Zhang, Jonathan Zhao, Fengbo Ren, Arizona State University, United States of America

Session:
Machine Learning for Physiological Signals II

Track:
Biomedical Imaging and Signal Processing

Location:
Gather Area N

Presentation Time:
Mon, 9 May, 22:00 - 22:45 China Time (UTC +8)
Mon, 9 May, 14:00 - 14:45 UTC

Session Chair:
Fengbo Ren , ASU
Presentation
Discussion
Resources
Session BIO-4
BIO-4.1: A STYLE TRANSFER MAPPING AND FINE-TUNING SUBJECT TRANSFER FRAMEWORK USING CONVOLUTIONAL NEURAL NETWORKS FOR SURFACE ELECTROMYOGRAM PATTERN RECOGNITION
Suguru Kanoga, Takayuki Hoshino, Mitsunori Tada, National Institute of Advanced Industrial Science and Technology (AIST), Japan
BIO-4.2: FEATURE-BASED SENSING MATRIX DESIGN FOR ANALOG TO INFORMATION CONVERTERS
Chencheng Guo, Hui Qian, Baoling Hong, Fuzhou University, China
BIO-4.3: ALSNET: A DILATED 1-D CNN FOR IDENTIFYING ALS FROM RAW EMG SIGNAL
K. M. Naimul Hassan, Md. Shamiul Alam Hridoy, Naima Tasnim, Atia Faria Chowdhury, Tanvir Alam Roni, Sheikh Tabrez, Arik Subhana, Celia Shahnaz, Bangladesh University of Engineering and Technology, Bangladesh
BIO-4.4: JOINT MODEL ORDER ESTIMATION FOR MULTIPLE TENSORS WITH A COUPLED MODE AND APPLICATIONS TO THE JOINT DECOMPOSITION OF EEG, MEG MAGNETOMETER, AND GRADIOMETER TENSORS
Bilal Ahmad, Liana Khamidullina, Alla Manina, Jens Haueisen, Martin Haardt, Ilmenau University of Technology, Germany; Alexey Korobkov, Kazan National Research Technical University n.a. A.N. Tupolev-KAI, Russian Federation
BIO-4.5: An Experimental Study on Transferring Data-driven Image Compressive Sensing to Bioelectric Signal
Zhikang Zhang, Jonathan Zhao, Fengbo Ren, Arizona State University, United States of America
BIO-4.6: Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism
Elahe Rahimian, Soheil Zabihi, Amir Asif, Arash Mohammadi, Concordia University, Canada; Dario Farina, Imperial College London, United Kingdom of Great Britain and Northern Ireland; Farokh Atashzar, New York University, United States of America