Hybrid Bionic Nerve Interface for Application in Bionic Limbs
Youngjun Cho, Hyung Hwa Jeong, Changsik John Pak, Jeongmok Cho, Yong‐Woo Kim, Dong-Geon Kim, T.K. Kim, Hoijun Kim, Sohee Kim, Soonchul Kwon, Joon Pio Hong, Hyunsuk Peter Suh, Sanghoon Lee
- Year
- 2023
- Citations
- 9
- Access
- Open access
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.
Keywords
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