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Updated: Jul 13, 2025

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Hybrid Bionic Nerve Interface for Application in Bionic Limbs.

Youngjun Cho1, Hyung Hwa Jeong2, Heejae Shin1

  • 1Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, 42899, South Korea.

Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|October 16, 2023
PubMed
Summary
This summary is machine-generated.

A new hybrid bionic interface combines biological and nerve interfaces for enhanced prosthetic control. This system successfully controlled a robotic leg using signals from a walking rabbit, showing long-term potential.

Keywords:
neural interfaceneuroprostheticregenerative peripheral nerve interfacerobotic legshape memory polymer

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Area of Science:

  • Biomedical Engineering
  • Neuroscience
  • Rehabilitation Engineering

Background:

  • Advanced neuroprosthetic systems demand sophisticated neural control and sensory feedback.
  • Current long-term neural interfaces often face limitations in sustained functionality.
  • Reliable interfaces are crucial for effective integration with bionic limbs.

Purpose of the Study:

  • To develop and evaluate a novel hybrid bionic interface for improved neural interfacing.
  • To enhance the performance and longevity of interfaces between nerves and bionic limbs.
  • To enable simultaneous bidirectional communication with neural tissue.

Main Methods:

  • Fabrication of a hybrid interface integrating a regenerative peripheral nerve interface (RPNI) and a peripheral neural interface.
  • Utilized a shape memory polymer buckle for simplified implantation on severed nerves.
  • Simultaneous recording and separate stimulation of nerve and RPNI signals.
  • Evaluation of interface performance in a rabbit model, including control of a robotic leg using naturally evoked signals.

Main Results:

  • The hybrid interface successfully recorded distinct signal information from both the RPNI and the nerve.
  • Separate stimulation of the nerve and RPNI induced different responses, demonstrating bidirectional control.
  • Naturally evoked signals from a walking rabbit were recorded and used to control a robotic leg.
  • Long-term evaluation (up to 29 weeks) in rabbits confirmed the interface's functionality and biocompatibility.

Conclusions:

  • The novel hybrid bionic interface significantly enhances neural interface performance for prosthetic applications.
  • The demonstrated ability to record and utilize naturally evoked signals offers a pathway to intuitive prosthetic control.
  • The interface shows promising long-term functionality and biocompatibility, supporting its potential for clinical translation.