Leiden, Netherlands

Wouter Pieter Van Nierop

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Maquet Cardiovascular LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Wouter Pieter Van Nierop. Retrieved from https://idiyas.com/inventor/wouter-pieter-van-nierop

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: Wouter Pieter Van Nierop: Surgical Training Innovation

Introduction

Wouter Pieter Van Nierop is an inventor associated with Leiden, Netherlands. His patent work includes a system designed to help users practice movements involved in endoscopic vessel harvesting procedures.

Latest Patents

Van Nierop is credited with 1 patent: “Electronic Training System and Method for Surgical Procedures.” The invention combines a manipulation device modeled on components of a vessel-harvesting instrument with sensors, a video display, and an electronic controller. The controller processes sensor signals to determine the device’s movements and presents visual indications on the display based partly on that movement information. This setup enables users to practice surgical instrument movements in a training environment.

Career Highlights

The patent identifies Maquet Cardiovascular LLC as the associated company. The invention reflects an application of electronic sensing and visual feedback to surgical skills training.

Collaborations

The provided information names Thorsten Prien and Cindy Blasewitz as Van Nierop’s coworkers. Their specific roles in developing the patented training system are not stated.

Conclusion

Wouter Pieter Van Nierop’s patent describes a sensor-guided training system that supports practice of movements used in endoscopic vessel harvesting.

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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