Frederick, MD, United States of America

Thomas McKenna

USPTO Granted Patents = 3 

Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2014-2017

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3 patents (USPTO):Explore Patents

Title: Thomas McKenna: Innovator in Vital Sign Monitoring Technology

Introduction

Thomas McKenna is a notable inventor based in Frederick, MD (US). He has made significant contributions to the field of medical technology, particularly in the area of vital sign monitoring. With a total of 3 patents to his name, McKenna's work focuses on enhancing decision-support algorithms for medical applications.

Latest Patents

One of McKenna's latest patents involves a system for the collection and analysis of vital signs. This innovative system includes a storage component, a communications module for interacting with medical measurement devices, an analysis controller, and a test module designed for testing and evaluating decision-support algorithms. The method outlined in the patent describes a process that begins with receiving a decision-support algorithm into a ruggedized, compact computer. It continues with the detection of a vital-sign monitoring session, the storage of vital-sign information, and the analysis of this information to provide outputs to databases or displays.

Career Highlights

McKenna is currently employed by the US Government as represented by the Secretary of the Army. His work in this capacity has allowed him to contribute to advancements in medical technology that can potentially improve patient care and decision-making in healthcare settings.

Collaborations

Some of McKenna's notable coworkers include Jaques Reifman and Maxim Y Khitrov. Their collaborative efforts have likely played a role in the development of innovative solutions in the medical field.

Conclusion

Thomas McKenna's contributions to the field of vital sign monitoring technology demonstrate his commitment to improving healthcare through innovation. His patents reflect a deep understanding of the complexities involved in medical decision-making and the importance of reliable data analysis.

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