Sunyoung Jung

Title: Innovations by Sunyoung Jung in Neural Probe Technology

Introduction

Sunyoung Jung is a prominent inventor based in Seoul, South Korea. She has made significant contributions to the field of neural probe technology, holding two patents that showcase her innovative approach to medical devices. Her work focuses on enhancing the capabilities of neural probes for better signal acquisition and stimulation.

Latest Patents

One of her latest patents is a device for inserting neural probes. This invention features a probe insertion device designed for a neural probe structure that allows for the simultaneous insertion of multiple probes into a nerve. The device includes a nerve holder that secures the nerve and a probe holder that supports the probes in a radial arrangement. This design enables the probes to be inserted into the nerve simultaneously, improving the efficiency of the procedure.

Another notable patent is a chronic implantable neural probe array for neural signal acquisition and stimulation. This neural probe array includes a probe that can be inserted into a nerve, featuring a microchannel that promotes nerve regeneration. An electrode is installed within the microchannel, isolated from gliosis, and is designed to receive a nerve growth factor. This innovative design allows for effective neural signal acquisition and stimulation while supporting nerve regeneration.

Career Highlights

Sunyoung Jung is affiliated with the Korea Institute of Science and Technology, where she continues to advance her research in neural technologies. Her work has garnered attention for its potential applications in medical science, particularly in treating neurological disorders.

Collaborations

She collaborates with notable colleagues, including Jinseok Kim and Hyungdal Park, who contribute to her research efforts and innovations in the field.

Conclusion

Sunyoung Jung's contributions to neural probe technology exemplify her commitment to advancing medical science through innovation. Her patents reflect a deep understanding of the complexities of neural interfaces and the potential for improving patient outcomes.