St. Louis, MO, United States of America

Hohyun Cho

This inventor holds 1 USPTO granted patent. Top assignee: Washington University. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hohyun Cho. Retrieved from https://idiyas.com/inventor/hohyun-cho-7yk771ba

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


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: Hohyun Cho: Innovator in Neurophysiological Signal Detection

Introduction

Hohyun Cho is a prominent inventor based in St. Louis, MO (US). He has made significant contributions to the field of neurophysiology through his innovative work in detecting neural signal oscillations. His research focuses on enhancing the precision and specificity of neural signal detection, which has important implications for various applications in neuroscience.

Latest Patents

Hohyun Cho holds a patent for "Systems and methods for detection of neurophysiological signal oscillations." This patent describes systems and methods that provide high precision in detecting oscillations in neural signals across time and frequency domains. The disclosed systems identify oscillations based on criteria such as 1/f noise, number of cycles, and auto-correlation. Additionally, the method effectively detects periodic signals while filtering out spurious oscillations associated with harmonic frequencies. He has 1 patent to his name.

Career Highlights

Hohyun Cho is affiliated with Washington University, where he contributes to research and development in neurophysiological signal detection. His work is instrumental in advancing the understanding of neural oscillations and their significance in various neurological conditions.

Conclusion

Hohyun Cho's innovative contributions to the detection of neurophysiological signals highlight his role as a key figure in neuroscience research. His patent reflects a commitment to improving the accuracy of neural signal detection, which can lead to advancements in understanding brain function and related disorders.

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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