Gothenburg, Sweden

Johan Wessberg

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Duke University. Active years: 2007.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Johan Wessberg. Retrieved from https://idiyas.com/inventor/johan-wessberg-vz82p10l

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 = 3.0

ph-index = 1

Forward Citations = 120(Granted Patents)


Company Filing History:


Years Active: 2007

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1 patent (USPTO):Explore Patents

Title: The Innovations of Johan Wessberg

Introduction

Johan Wessberg is a notable inventor based in Gothenburg, Sweden. He has made significant contributions to the field of brain-machine interfaces. His work focuses on translating neural signals into movements performed by machines, which has the potential to revolutionize how we interact with technology.

Latest Patents

Wessberg holds a patent for a closed loop brain-machine interface. This innovative technology translates one or more neural signals into a movement or a series of movements executed by a machine. Additionally, the closed loop brain-machine interface provides sensory feedback to the subject, enhancing the interaction between the user and the machine. The methods of employing this interface are also disclosed in his patent.

Career Highlights

Johan Wessberg is affiliated with Duke University, where he continues to advance research in the field of neuroscience and technology. His work has garnered attention for its potential applications in various industries, including healthcare and robotics.

Collaborations

Wessberg has collaborated with esteemed colleagues such as Miguel A. L. Nicolelis and John K. Chapin. These partnerships have contributed to the development of groundbreaking technologies in brain-machine interfaces.

Conclusion

Johan Wessberg's contributions to the field of brain-machine interfaces exemplify the intersection of neuroscience and technology. His innovative patent and collaborations highlight the potential for future advancements in this exciting area of research.

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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