TP6a: Machine Learning in Medicine for Wearable Based Physiological Signals
Tue, 29 Oct, 13:30 - 15:10 PT (UTC -8)
Location: Evergreen
Session Type: Lecture
Session Chair: Bige Unluturk, Michigan State University
Track: Biomedical Signal and Image Processing
Tue, 29 Oct, 13:30 - 13:55 PT (UTC -8)

TP6a.1: Kinematic Cycle Consistency using Wearable and RF Data for Improved Human Skeleton Estimation
Sultanus Salehin, Sean Kearney, Sevgi Zubeyde Gurbuz, The University of Alabama, United States
Tue, 29 Oct, 13:55 - 14:20 PT (UTC -8)

TP6a.2: Enhancing Alzheimer's Disease Detection through Electroencephalography Channel and Feature Optimization
Can Dimici, Berk Katircioglu, Beren Semiz, Koc University, Turkey
Tue, 29 Oct, 14:20 - 14:45 PT (UTC -8)

TP6a.3: Deciphering Cardiac Neural Network Dynamics: From In-Vivo Recordings to Unsupervised Spike Labeling
Nil Z. Gurel, UCLA Cardiac Arrhythmia Center and Neurocardiology Research Program of Excellence, United States; Koustubh Sudarshan, Alex Karavos, Guy Kember, Dalhousie University, Canada; Olujimi Ajijola, UCLA Cardiac Arrhythmia Center and Neurocardiology Research Program of Excellence, United States
Tue, 29 Oct, 14:45 - 15:10 PT (UTC -8)

TP6a.4: Addressing Racial Disparities in Pulse Oximetry: A Machine Learning Perspective
Hakan Burak Karli, Bige Deniz Unluturk, Michigan State University, United States