Wearables for Immersive Biomechanical Biofeedback and New Perspectives on Diagnostic Image Quality

The first part covers our approach to closing the digital-physical gap
between sensor data and biomechanical models to support home-based spinal
fitness and therapeutic exercise by means of wearable sensors and cognitive
immersive biofeedback. The user interface is based on an extended reality
(XR) visualization of a 3D patient-specific model guided by a virtual
therapy supervisor. The system incorporates garment-integrated stretch
sensors, a real time biomechanical model coupled with sensor signals, and
an immersive user interface using stereoscopic smart glasses.
The second part deals with foundational research on diagnostic image
quality (DIQ) based on the interdependence among interpretability,
adequacy, and visual quality using mammography as the case study.
Interpretability depends on whether visual quality and adequacy are
appropriate for the image complexity. Methods to capture subjective
evaluation of quality and its three dimensions, as well as objective model
development will be discussed. Objective DIQ based on computable features
and the need for cognitively inspired diagnostic saliency maps will be
addressed as well.

Dr. Jorge Caviedes

Arizona State University on March 9, 2022 at 1:30 PM in EB2 3002

Jorge Caviedes is a research professor at the ASU-Mayo Center for
Innovative Imaging in the School of Computing and Augmented Intelligence,
and associate faculty at the College of Health Solutions at Arizona State
University. Jorge holds Ph.D. and M.S. degrees in Biomedical Engineering
from Vanderbilt University, and B.S. in Electrical Engineering from the
Universidad de los Andes in Bogota, Colombia, and post-doc in Medical
Informatics from Columbia University. Prior to joining ASU, he has been
Principal Scientist at Philips Research Labs and Principal Engineer at
Intel Corporation. Teaching: BMI 505 Foundations of BMI Methods, ECE 408
Multimedia Information systems, and ECE 509 Digital Video Processing. His
research interests include multimedia interaction and immersive user
experience, cognition inspired image analytics, wearable sensors for
therapeutic exercise and diagnostic and visual image quality models. Holder
of 50+ patents and 50+ publications.

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