Hostname: page-component-6766d58669-rxg44 Total loading time: 0 Render date: 2026-05-15T22:10:22.625Z Has data issue: false hasContentIssue false

The application of machine perfusion for the testing of peripheral nerve and muscle interfacing for bionic prostheses: a systematic review

Published online by Cambridge University Press:  09 January 2025

A response to the following question: How can innovative design strategies in biotechnology address biocompatibility and signal processing challenges in next-generation bioelectronic interfaces?

Kavit R. Amin*
Affiliation:
Department of Plastic Surgery, Manchester University NHS Foundation Trust, Manchester, UK Division of Cell Matrix, Biology and Regenerative Medicine, University of Manchester, Manchester, UK The Pebble Institute, Manchester, UK
Erin R. Armstrong
Affiliation:
The Pebble Institute, Manchester, UK
Alexander J. Casson
Affiliation:
Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK
James E. Fildes
Affiliation:
The Pebble Institute, Manchester, UK The Healthcare Technologies Institute, University of Birmingham, Birmingham, UK
*
Corresponding author: Kavit R. Amin; Email: kav.amin@pebble.bio
Rights & Permissions [Opens in a new window]

Abstract

This systematic review evaluates the use of Normothermic Machine Perfusion (NMP) as a testbed for developing peripheral nerve and muscle interfaces for bionic prostheses. Our findings suggest that NMP offers a viable alternative to traditional models, with significant implications for future research and clinical applications. A literature search was performed using Ovid MEDLINE (1946 to October 2023), revealing 559 abstracts.

No studies using nerve and/or muscle electrodes for the testing or development of bionic interface technologies were identified, except for one conference abstract. NMP could serve as a test bed for future development of interface biocompatibility, selectivity, stability and data transfer, whilst complying with ethical practices and potentially offering greater relevance for human translation. Implemention of machine perfusion requires experienced personnel. Encompassing artificial intelligence alongside machine learning will provide a significant contribution to advancing interface technologies for multiple neurological disorders.

Information

Type
Impact Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
Figure 0

Table 1. Research targets for the development of desirable implantable nerve electrode

Figure 1

Table 2. Review protocol outlining the predetermined inclusion criteria for article selection

Figure 2

Figure 1. Selection process for systematic literature analyses as per PRISMA guidelines.

Author comment: The application of machine perfusion for the testing of peripheral nerve and muscle interfacing for bionic prostheses: A systematic review — R0/PR1

Comments

No accompanying comment.

Decision: The application of machine perfusion for the testing of peripheral nerve and muscle interfacing for bionic prostheses: A systematic review — R0/PR2

Comments

No accompanying comment.

Author comment: The application of machine perfusion for the testing of peripheral nerve and muscle interfacing for bionic prostheses: A systematic review — R1/PR3

Comments

No accompanying comment.

Decision: The application of machine perfusion for the testing of peripheral nerve and muscle interfacing for bionic prostheses: A systematic review — R1/PR4

Comments

No accompanying comment.