TUCSON, AZ, United States of America

Ao Li

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: The University of Arizona. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ao Li. Retrieved from https://idiyas.com/inventor/ao-li-pjziqyjp

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

Calculating rank
USPTO Granted Patents = 1 

% 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: The Innovations of Ao Li

Introduction

Ao Li is an accomplished inventor based in Tucson, Arizona. He has made significant contributions to the field of electrocardiography through his innovative patent. His work focuses on utilizing advanced neural network techniques to enhance the monitoring of cortical arousal events.

Latest Patents

Ao Li 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 comprises an inception module, a residual neural network, and a long short-term memory neural network, which work together to identify structures in the ECG signal that distinguish periods of cortical arousal from those without.

Career Highlights

Ao Li 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 medical diagnostics and patient monitoring.

Collaborations

Ao Li collaborates with notable colleagues, including Janet Roveda and Siteng Chen, who contribute to his research endeavors.

Conclusion

Ao Li's innovative work in neural network-based electrocardiogram monitoring exemplifies 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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