Hybrid Bionic Nerve Interface for Application in Bionic Limbs

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 shown that 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.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Hybrid Bionic Nerve Interface for Application in Bionic Limbs ; day:15 ; month:10 ; year:2023 ; extent:12 ; Advanced science ; (15.10.2023) (gesamt 12)

Contributors, Places and Time

• Creator: Cho, Youngjun ; Jeong, Hyung Hwa ; Shin, Heejae ; Pak, Changsik John ; Cho, Jeongmok ; Kim, Yongwoo ; Kim, Donggeon ; Kim, Taehyeon ; Kim, Hoijun ; Kim, Sohee ; Kwon, Soonchul ; Hong, Joon Pio ; Suh, Hyunsuk Peter ; Lee, Sanghoon

Further information

• DOI: 10.1002/advs.202303728
• URN: urn:nbn:de:101:1-2023101615293936205413
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:58 AM CEST