Moscow, Russia

Alexander Markovich Zolotarev

This inventor holds 1 USPTO granted patent. Top assignees: Skolkovo Institute of Science and Technology, The Ohio State University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alexander Markovich Zolotarev. Retrieved from https://idiyas.com/inventor/alexander-markovich-zolotarev

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Alexander Markovich Zolotarev: Patent Innovation in Cardiac Arrhythmia Detection.

Introduction

Alexander Markovich Zolotarev is an inventor associated with Moscow, Russia, and research organizations including Skolkovo Institute of Science and Technology and The Ohio State University. His patent work addresses the use of artificial intelligence to help locate sources of cardiac arrhythmia.

Latest Patents

Zolotarev is associated with 1 patent: “Artificial Intelligence Trained with Optical Mapping to Improve Detection of Cardiac Arrhythmia Sources.” The invention describes methods and systems that use electrogram signals recorded from a patient’s heart and a pre-trained AI model to predict the location of an arrhythmia source.

For training, the model uses electrogram signals collected from explanted human hearts with an electrode array, alongside co-registered functional or structural imaging data. The imaging data identifies at least one arrhythmia source, providing reference information for training the model.

Career Highlights

Zolotarev’s listed affiliations include Skolkovo Institute of Science and Technology and The Ohio State University. His patent reflects research at the intersection of artificial intelligence, cardiac electrophysiology, and medical imaging.

Collaborations

His listed coworkers include Vadim Valerievich Fedorov and Brian Hansen. Their names are associated with the collaborative research context of the cardiac arrhythmia detection invention.

Conclusion

Alexander Markovich Zolotarev’s patent describes an AI-based approach that combines electrogram recordings with imaging-informed training to improve the localization of cardiac arrhythmia sources.

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]
Loading…