Detail View

DC Field Value Language
dc.contributor.author Cho, Youngjun -
dc.contributor.author Jeong, Hyung Hwa -
dc.contributor.author Shin, Heejae -
dc.contributor.author Pak, Changsik John -
dc.contributor.author Cho, Jeongmok -
dc.contributor.author Kim, Yongwoo -
dc.contributor.author Kim, Donggeon -
dc.contributor.author Kim, Taehyeon -
dc.contributor.author Kim, Hoijun -
dc.contributor.author Kim, Sohee -
dc.contributor.author Kwon, Soonchul -
dc.contributor.author Hong, Joon Pio -
dc.contributor.author Suh, Hyunsuk Peter -
dc.contributor.author Lee, Sanghoon -
dc.date.accessioned 2023-12-19T11:10:21Z -
dc.date.available 2023-12-19T11:10:21Z -
dc.date.created 2023-10-27 -
dc.date.issued 2023-12 -
dc.identifier.issn 2198-3844 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46706 -
dc.description.abstract Intuitive and perceptual neuroprosthetic systems require a high degree of neural control and a variety of sensory feedback, but reliable neural interfaces for long-term use that maintain their functionality are limited. Here, a novel hybrid bionic interface is presented, fabricated by integrating a biological interface (regenerative peripheral nerve interface (RPNI)) and a peripheral neural interface to enhance the neural interface performance between a nerve and bionic limbs. This interface utilizes a shape memory polymer buckle that can be easily implanted on a severed nerve and make contact with both the nerve and the muscle graft after RPNI formation. It is demonstrated that this interface can simultaneously record different signal information via the RPNI and the nerve, as well as stimulate them separately, inducing different responses. Furthermore, it is shownthat this interface can record naturally evoked signals from a walking rabbit and use them to control a robotic leg. The long-term functionality and biocompatibility of this interface in rabbits are evaluated for up to 29 weeks, confirming its promising potential for enhancing prosthetic control. © 2023 The Authors. Advanced Science published by Wiley-VCH GmbH. -
dc.language English -
dc.publisher John Wiley and Sons Inc -
dc.title Hybrid Bionic Nerve Interface for Application in Bionic Limbs -
dc.type Article -
dc.identifier.doi 10.1002/advs.202303728 -
dc.identifier.wosid 001083024000001 -
dc.identifier.scopusid 2-s2.0-85174176635 -
dc.identifier.bibliographicCitation Cho, Youngjun. (2023-12). Hybrid Bionic Nerve Interface for Application in Bionic Limbs. Advanced Science, 10(35). doi: 10.1002/advs.202303728 -
dc.description.isOpenAccess TRUE -
dc.subject.keywordAuthor neural interface -
dc.subject.keywordAuthor neuroprosthetic -
dc.subject.keywordAuthor regenerative peripheral nerve interface -
dc.subject.keywordAuthor robotic leg -
dc.subject.keywordAuthor shape memory polymer -
dc.subject.keywordPlus CONDUCTION-VELOCITY -
dc.subject.keywordPlus BIOCOMPATIBILITY -
dc.subject.keywordPlus PAIN -
dc.citation.number 35 -
dc.citation.title Advanced Science -
dc.citation.volume 10 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Chemistry; Science & Technology - Other Topics; Materials Science -
dc.relation.journalWebOfScienceCategory Chemistry, Multidisciplinary; Nanoscience & Nanotechnology; Materials Science, Multidisciplinary -
dc.type.docType Article -
Show Simple Item Record

File Downloads

  • There are no files associated with this item.

공유

qrcode
공유하기

Related Researcher

김소희
Kim, Sohee김소희

Department of Robotics and Mechatronics Engineering

read more

Total Views & Downloads