Brentford, United Kingdom

Sabastien Ouchouche

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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2 patents (USPTO):Explore Patents

Title: The Innovations of Sabastien Ouchouche

Introduction

Sabastien Ouchouche is a notable inventor based in Brentford, GB. He has made significant contributions to the field of neurostimulation, holding 2 patents that showcase his innovative approach to medical technology. His work focuses on developing advanced electrode devices that enhance neural interfaces.

Latest Patents

Ouchouche's latest patents include groundbreaking designs for electrode devices used in neurostimulation. These devices feature an extravascular or intravascular neural interface comprising three C-ring portions, with at least two portions including an electrode, an electrode pair, or an electrode array. The portions are crafted from a flexible material that allows them to self-size, fitting snugly around the surface of a target vessel when released. This design minimizes nerve compression, promotes unrestricted blood flow, and enhances fluid exchange with the target vessel. The arrangement of the portions in a low helix angle allows for at least two full turns, further optimizing their functionality.

Career Highlights

Ouchouche is currently employed at Galvani Bioelectronics Limited, where he continues to push the boundaries of neurotechnology. His work is characterized by a commitment to improving medical devices that can significantly impact patient care and treatment outcomes.

Collaborations

Some of his notable coworkers include Faisal Zaidi and Paul Matteucci, Jr. Their collaborative efforts contribute to the innovative environment at Galvani Bioelectronics Limited, fostering advancements in the field of bioelectronics.

Conclusion

Sabastien Ouchouche's contributions to neurostimulation technology exemplify the spirit of innovation in medical devices. His patents reflect a deep understanding of the complexities involved in neural interfaces, paving the way for future advancements in the field.

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