San Jose, CA, United States of America

Byron M Yu

This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignees: Leland Stanford Junior University, Agilent Technologies, Inc.. Active years: 2002-2014.

USPTO Granted Patents = 3 

% Patents Active = 66.7

Average Co-Inventor Count = 3.6

ph-index = 2

Forward Citations = 29(Granted Patents)


Company Filing History:


Years Active: 2002-2014

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3 patents (USPTO):Explore Patents

Title: Byron M Yu: Innovator in Brain Machine Interfaces

Introduction

Byron M Yu is a prominent inventor based in San Jose, CA, known for his groundbreaking work in brain machine interfaces. His innovative contributions have significantly advanced the field of prosthetic control, enabling more intuitive interactions between users and their devices. With a total of 3 patents, Yu's inventions are at the forefront of neural signal decoding and prosthetic technology.

Latest Patents

One of Yu's latest patents focuses on a brain machine interface that provides artificial control of a prosthetic device. This invention includes a mapping of neural signals and corresponding intention estimating kinematics, such as positions and velocities of limb trajectories. The prosthetic device is controlled through this brain machine interface, which has been modified to enhance its functionality. The modified interface incorporates a new mapping of neural signals, allowing for improved control using recorded neural brain signals from the user. This innovation utilizes a Kalman filter to model velocities as intentions and positions as feedback.

Another significant patent by Yu involves decoding neural signals for movement control. This brain machine interface estimates and combines information from two classes of neural activity. The first estimator decodes movement plan information from neural signals representing plan activity, while the second estimator decodes peri-movement information from signals representing peri-movement activity. Each estimator is designed to capture different aspects of movement, enhancing the overall effectiveness of the control system.

Career Highlights

Throughout his career, Byron M Yu has worked with esteemed organizations such as Leland Stanford Junior University and Agilent Technologies, Inc. His experience in these institutions has allowed him to collaborate with leading experts in the field and contribute to significant advancements in technology.

Collaborations

Yu has collaborated with notable colleagues, including Krishna V Shenoy and Stephen I Ryu. These partnerships have fostered a rich environment for innovation and have led to the development of cutting-edge technologies in brain machine interfaces.

Conclusion

Byron M Yu's contributions to the field of brain machine interfaces exemplify the potential of innovative technology to improve the quality of life for individuals using prosthetic devices. His work continues to inspire advancements in neural signal decoding and prosthetic control systems.

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