Milwaukee, WI, United States of America

Gordon Ian Rowlandson

USPTO Granted Patents = 15 

 

Average Co-Inventor Count = 3.0

ph-index = 5

Forward Citations = 136(Granted Patents)


Location History:

  • Milwaukee, WI (US) (2010 - 2014)
  • Wauwatosa, WI (US) (2019 - 2023)
  • Fox Point, WI (US) (2024)

Company Filing History:


Years Active: 2010-2025

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15 patents (USPTO):Explore Patents

Title: Gordon Ian Rowlandson: Innovator in Electrocardiogram Diagnosis

Introduction

Gordon Ian Rowlandson is a notable inventor based in Milwaukee, WI (US). He has made significant contributions to the field of medical technology, particularly in the area of electrocardiogram (ECG) diagnosis. With a total of 15 patents to his name, Rowlandson's work has the potential to enhance patient care and diagnostic accuracy.

Latest Patents

One of Rowlandson's latest patents is titled "Systems and methods for reduced lead electrocardiogram diagnosis using deep neural networks and rule-based systems." This innovative method provides a way to automatically diagnose a patient based on a reduced lead ECG. The process involves acquiring reduced lead ECG data, determining the type of each lead signal, selecting a deep neural network based on these types, and mapping the signals to a diagnosis. This approach allows for intelligent diagnosis using deep learning techniques tailored to the specific ECG lead types.

Career Highlights

Throughout his career, Rowlandson has worked with prominent companies such as General Electric Company and GE Precision Healthcare LLC. His experience in these organizations has contributed to his expertise in medical technology and innovation.

Collaborations

Rowlandson has collaborated with notable colleagues, including Joel Quizhen Xue and Robert Edward Henderson. These partnerships have likely enriched his work and expanded the impact of his inventions.

Conclusion

Gordon Ian Rowlandson is a distinguished inventor whose work in ECG diagnosis exemplifies the intersection of technology and healthcare. His innovative approaches have the potential to transform patient diagnostics and improve healthcare outcomes.

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