TP6a.4

Addressing Racial Disparities in Pulse Oximetry: A Machine Learning Perspective

Hakan Burak Karli, Bige Deniz Unluturk, Michigan State University, United States
Session:
TP6a: Machine Learning in Medicine for Wearable Based Physiological Signals Lecture
Track:
Biomedical Signal and Image Processing
Location:
Evergreen
Presentation Time:
Tue, 29 Oct, 14:45 - 15:10 PT (UTC -8)
Session Chair:
Bige Unluturk, Michigan State University
Presentation
Discussion
Resources
No resources available.
Session TP6a
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
TP6a.2: Enhancing Alzheimer's Disease Detection through Electroencephalography Channel and Feature Optimization
Can Dimici, Berk Katircioglu, Beren Semiz, Koc University, Turkey
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
TP6a.4: Addressing Racial Disparities in Pulse Oximetry: A Machine Learning Perspective
Hakan Burak Karli, Bige Deniz Unluturk, Michigan State University, United States
Contacts