Shimotsuke, Japan

Ippeita Dan

This inventor holds 1 USPTO granted patent. Top assignees: Hitachi, Ltd., Jichi Medical University. Active years: 2020.


% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations of Ippeita Dan in Brain Function Index Computing

Introduction

Ippeita Dan is a notable inventor based in Shimotsuke, Japan. He has made significant contributions to the field of mental health diagnostics through his innovative patent. His work focuses on developing techniques for computing brain function indices that can aid in diagnosing mental disorders, even in children around school age.

Latest Patents

Ippeita Dan holds a patent for a "Brain function index computing device and brain function index computing method." This invention provides a technique for computing a brain function index for diagnosing mental disorders at the individual level. The device includes a brain activity value calculation processing unit that calculates brain activity signals from specific regions of the brain, including the middle frontal gyrus (MFG) and the inferior frontal gyrus (IFG). Additionally, it features a brain function index calculation processing unit that computes a brain function index associated with mental disorders using the calculated brain activity values. He has 1 patent to his name.

Career Highlights

Throughout his career, Ippeita Dan has worked with prominent organizations, including Hitachi, Ltd. and Jichi Medical University. His experience in these institutions has contributed to his expertise in brain function analysis and mental health diagnostics.

Collaborations

Some of his notable coworkers include Hiroki Sato and Atsushi Maki. Their collaboration has likely enhanced the development and application of his innovative techniques.

Conclusion

Ippeita Dan's contributions to brain function index computing represent a significant advancement in mental health diagnostics. His innovative approach has the potential to improve the diagnosis and understanding of mental disorders, particularly in younger populations.

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