Maastricht, Netherlands

Gaetano Leogrande

This inventor holds 1 USPTO granted patent. Top assignee: Medtronic, Inc.. Active years: 2026.


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: Gaetano Leogrande: Innovator in Cardiac Signal Processing

Introduction

Gaetano Leogrande is a notable inventor based in Maastricht, Netherlands. He has made significant contributions to the field of biomedical engineering, particularly in the area of cardiac signal processing. His innovative work focuses on improving the quality of neural signals by effectively suppressing artifacts from cardiac signals.

Latest Patents

Leogrande holds a patent for a method titled "Denoising Sensed Signals from Artifacts from Cardiac Signals." This patent describes a sophisticated approach to artifact suppression in sensed signals. The method involves receiving a sensed signal from a patient's brain, which contains both neural signals and artifacts from cardiac signals. It decomposes the sensed signal into multiple components and identifies groups of components that are correlated. By estimating the cardiac signal and generating a denoised neural signal, the method effectively suppresses the cardiac signal, enhancing the clarity of the neural data.

Career Highlights

Gaetano Leogrande is currently employed at Medtronic, Inc., a leading company in medical technology. His work at Medtronic focuses on advancing techniques that improve patient outcomes through innovative signal processing methods. With a patent portfolio that includes 1 patent, Leogrande has established himself as a key figure in his field.

Collaborations

Throughout his career, Leogrande has collaborated with talented professionals, including Claudia Sannelli and Eric J. Panken. These collaborations have contributed to the development of cutting-edge technologies in the medical field.

Conclusion

Gaetano Leogrande's contributions to cardiac signal processing exemplify the impact of innovation in healthcare technology. His work not only enhances the understanding of neural signals but also paves the way for improved medical diagnostics and treatments.

Profile summary based on public USPTO records.
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