Edinburgh, United Kingdom

David Clifton

USPTO Granted Patents = 6 

 

Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 9(Granted Patents)


Location History:

  • Midlothian, GB (2012)
  • Edinburgh, GB (2011 - 2015)

Company Filing History:


Years Active: 2011-2015

Loading Chart...
Loading Chart...
6 patents (USPTO):Explore Patents

Title: David Clifton: Innovator in Signal Processing Technologies

Introduction

David Clifton is a prominent inventor based in Edinburgh, GB. He has made significant contributions to the field of signal processing, particularly in the analysis of physiological signals. With a total of six patents to his name, Clifton's work has advanced the understanding and application of signal analysis techniques.

Latest Patents

One of Clifton's latest patents focuses on systems and methods for ridge selection in scalograms of signals. This invention discloses various systems, devices, and methods for identifying ridges or ridge components within a scalogram, which can be computed from signals such as photoplethysmographic signals. The process involves determining parameters that characterize these ridges and subsequently analyzing a ridge density distribution function to select a ridge. This selected ridge can then be utilized to determine physiological parameters, such as respiration rate.

Career Highlights

Throughout his career, David Clifton has worked with notable companies, including Nellcor Puritan Bennett Ireland. His expertise in signal processing has been instrumental in developing innovative solutions in the medical technology sector.

Collaborations

Clifton has collaborated with esteemed colleagues, including James Nicholas Watson and Paul Stanley Addison. These partnerships have contributed to the advancement of his research and the successful implementation of his inventions.

Conclusion

David Clifton's work in signal processing and his innovative patents have made a significant impact in the field. His contributions continue to influence the development of technologies that enhance the analysis of physiological signals.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…