Technical Program

Paper Detail

Note: All times are in Pacific Daylight Time (UTC -7)
Paper: F-3.2
Paper Title:  A Fusion of Wavelet-based and Unsupervised Machine Learning Method for Artifacts Removal in Electrodermal Activity Signal
Authors:  Lili Zhu, Petros Spachos, University of Guelph, Canada; Konstantinos Plataniotis, University of Toronto, Canada
Session: Signal/Image Processing for Physiological Signals (invited)
Location: Virtual F
Presentation Time: Monday, October 31, 11:00 - 12:00
Virtual Presentation:   Attend on Virtual Platform
Presentation:  Virtual
Topic:  Biomedical Signal and Image Processing: Invited Session: Signal/Image Processing for Physiological Signals