Cambridge, MA, United States of America

Thrasyvoulos Karydis


Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Thrasyvoulos Karydis: Innovator in EEG Neurofeedback Technology

Introduction

Thrasyvoulos Karydis is a notable inventor based in Cambridge, MA (US). He has made significant contributions to the field of neurofeedback technology, particularly through his innovative patent related to EEG systems. His work focuses on enhancing the understanding and application of brain activity monitoring.

Latest Patents

Karydis holds a patent for "Methods, systems, and apparatus for self-calibrating EEG neurofeedback." This invention discloses methods and systems that implement a generalizable self-calibrating protocol coupled with machine learning algorithms. The patent specifically addresses the classification of perceptual states, such as pain and no pain, using inexpensive, commercially available, wearable EEG sensors. These sensors provide sufficient data fidelity to differentiate between perceptually opposite states. The invention also emphasizes low-computational overhead machine learning algorithms that can be executed on mobile platforms, allowing users to self-calibrate their perceptual states. This technology has the potential to extend beyond pain management, paving the way for EEG neurofeedback applications targeting various self-calibrated perceptual states in at-home and wearable settings.

Career Highlights

Thrasyvoulos Karydis is affiliated with the Massachusetts Institute of Technology, where he continues to advance research in neurofeedback technologies. His work is characterized by a commitment to making EEG technology accessible and effective for everyday use.

Collaborations

Karydis collaborates with Andreas Mershin, contributing to the development of innovative solutions in the field of neurofeedback.

Conclusion

Thrasyvoulos Karydis is a pioneering inventor whose work in EEG neurofeedback technology is shaping the future of brain-computer interfaces. His contributions are significant in making neurofeedback more accessible and effective for various applications.

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