Seoul, South Korea

Joon Myoung Kwon

This inventor holds 1 USPTO granted patent and 12 published patent applications and 1 EPO patent. Top assignee: Medical AI Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Joon Myoung Kwon. Retrieved from https://idiyas.com/inventor/joon-myoung-kwon

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 

 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Joon Myoung Kwon and AI-Enabled Electrocardiogram Innovation.

Introduction

Joon Myoung Kwon is an inventor based in Seoul, South Korea. His work includes an invention applying machine learning to electrocardiogram data, with the aim of generating synchronized readings from measurements taken at different times.

Latest Patents

Kwon is associated with 1 patent, titled “Apparatus Using Two Lead Asynchronous Electrocardiograms.” The invention describes collecting and classifying electrocardiogram data from multiple patients, then training a machine-learning model to recognize different electrocardiogram styles. The model uses two lead electrocardiograms measured at different times from a subject to generate multiple virtual synchronous lead electrocardiograms.

Career Highlights

Kwon has worked with Medical AI Co., Ltd. and BODYFRIEND Co., Ltd. His patent reflects an application of deep learning to medical signal processing and electrocardiogram analysis.

Collaborations

Kwon’s listed coworker is Yong-Yeon Jo. The available information does not specify the nature or scope of their collaboration.

Conclusion

Joon Myoung Kwon’s patented work explores how machine learning can transform asynchronous electrocardiogram measurements into virtual synchronized readings, connecting his innovation to medical AI and health technology.

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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