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Soft Electronics And Sensors For Wearable Healthcare Applications, Li-Wei Lo
Soft Electronics And Sensors For Wearable Healthcare Applications, Li-Wei Lo
McKelvey School of Engineering Theses & Dissertations
Wearable electronics are becoming increasingly essential to personalized medicine by collecting and analyzing massive amounts of biological signals from internal organs, muscles, and blood vessels. Conventional rigid electronics may lead to motion artifacts and errors in collected data due to the mismatches in mechanical properties between human skin. Instead, soft wearable electronics provide a better platform and interface that can form intimate contact and conformably adapt to human skin. In this respect, this thesis focuses on new materials formulation, fabrication, characterization of low-cost, high sensitivity and reliable sensors for wearable health monitoring applications.
More specifically, we have studied the silver …
Model-Based Deep Learning For Computational Imaging, Xiaojian Xu
Model-Based Deep Learning For Computational Imaging, Xiaojian Xu
McKelvey School of Engineering Theses & Dissertations
This dissertation addresses model-based deep learning for computational imaging. The motivation of our work is driven by the increasing interests in the combination of imaging model, which provides data-consistency guarantees to the observed measurements, and deep learning, which provides advanced prior modeling driven by data. Following this idea, we develop multiple algorithms by integrating the classical model-based optimization and modern deep learning to enable efficient and reliable imaging. We demonstrate the performance of our algorithms by validating their performance on various imaging applications and providing rigorous theoretical analysis.
The dissertation evaluates and extends three general frameworks, plug-and-play priors (PnP), regularized …