Suita, Japan

Seiji Kameda


Average Co-Inventor Count = 3.7

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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3 patents (USPTO):Explore Patents

Title: Seiji Kameda: Innovator in Brain-Machine Interfaces

Introduction

Seiji Kameda is an accomplished inventor based in Suita, Japan, known for his contributions to the field of brain-machine interfaces. With a total of two patents to his name, his work significantly advances our understanding and capabilities in neurocommunication technologies.

Latest Patents

Kameda's latest patents include a brain-machine interface system that can adjust the amount of communication data transmitted from an internal device implanted in a living body. This innovative system employs a control section that allows a communication section to wirelessly transmit data corresponding to electroencephalogram (EEG) signals, detected through a group of electrodes, to an external device. Additionally, he developed an internal device incorporating noise reduction techniques that enhance the clarity of the EEG signals, providing valuable real-time data transmission through selective operation modes.

Career Highlights

Throughout his career, Seiji Kameda has worked with notable organizations such as Nihon Kohden Corporation and Osaka University. His experiences in these institutions have enabled him to push the boundaries of research and development in bioengineering, particularly in the domain of neural communication.

Collaborations

Kameda has collaborated with distinguished colleagues, including Kaoru Imajo and Katsuyoshi Suzuki. Their combined efforts in research and innovation have contributed to the enhancement of brain-machine interface technologies, fostering advancements that influence both medical applications and neuroscientific research.

Conclusion

Seiji Kameda's work continues to have a profound impact on the intersection of neuroscience and technology. As an inventor, his contributions through patented innovations pave the way for breakthroughs in brain-machine interfaces that could revolutionize how we interact with technology and understand brain functions.

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