New York, NY, United States of America

Elton Ho

This inventor holds 3 USPTO granted patents and 15 published patent applications. Top assignee: Precision Neuroscience Corporation. Active years: 2026.

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 6.9

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2026

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3 patents (USPTO):Explore Patents

Title: Innovations by Elton Ho in Neural Data Compression

Introduction

Elton Ho is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of neural data processing, particularly in the area of data compression for neural systems. His innovative work has the potential to enhance the efficiency of neural signal data handling.

Latest Patents

Elton Ho holds a patent for a groundbreaking system titled "Data compression for neural systems." This invention focuses on compressing neural signal data using spatiotemporal data compression techniques. The system includes an implantable neural device that receives electrophysiologic signal data from an electrode array. It maps the electrophysiologic signal data to the locations of each electrode and compresses the mapped data based on these locations. The use of a spatiotemporal data compression algorithm allows for the definition of compressed electrophysiologic signal data. Furthermore, the implantable neural device can connect to a computer system that decompresses the electrophysiologic data for various downstream applications.

Career Highlights

Elton Ho is currently associated with Precision Neuroscience Corporation, where he continues to develop innovative solutions in the field of neuroscience. His work is pivotal in advancing the understanding and application of neural data processing technologies.

Conclusion

Elton Ho's contributions to neural data compression represent a significant advancement in the field of neuroscience. His innovative patent showcases the potential for improved data handling in neural systems, paving the way for future developments in this critical area.

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