TUCSON, AZ, United States of America

Linda Powers

This inventor holds 1 USPTO granted patent. Top assignee: The University of Arizona. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Linda Powers. Retrieved from https://idiyas.com/inventor/linda-powers

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Inventor Linda Powers

Introduction

Linda Powers is an accomplished inventor based in Tucson, Arizona. He has made significant contributions to the field of medical technology, particularly in the area of electrocardiogram monitoring. His innovative work focuses on utilizing neural networks to enhance the detection of cortical arousal events.

Latest Patents

Linda Powers holds a patent for a "Neural-network based electrocardiogram monitor and associated methods." This invention involves systems and methods that detect cortical arousal events from a single time-varying ECG signal obtained via single-lead ECG. A pre-trained deep neural network transforms the ECG signal into a sequence of cortical-arousal probabilities. The deep neural network incorporates an inception module, a residual neural network, and a long short-term memory neural network to identify structures in the ECG signal that distinguish periods of cortical arousal from those without.

Career Highlights

Linda Powers is affiliated with the University of Arizona, where he continues to advance his research and innovations. His work has the potential to significantly impact the field of cardiology and improve patient monitoring techniques.

Collaborations

Some of his notable coworkers include Janet Roveda and Siteng Chen, who contribute to the collaborative efforts in his research projects.

Conclusion

Linda Powers is a pioneering inventor whose work in neural-network based electrocardiogram monitoring showcases the intersection of technology and healthcare. His contributions are paving the way for advancements in medical diagnostics and patient care.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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