Literature DB >> 16221284

A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems.

Xavier Navarro1, Thilo B Krueger, Natalia Lago, Silvestro Micera, Thomas Stieglitz, Paolo Dario.   

Abstract

Considerable scientific and technological efforts have been devoted to develop neuroprostheses and hybrid bionic systems that link the human nervous system with electronic or robotic prostheses, with the main aim of restoring motor and sensory functions in disabled patients. A number of neuroprostheses use interfaces with peripheral nerves or muscles for neuromuscular stimulation and signal recording. Herein, we provide a critical overview of the peripheral interfaces available and trace their use from research to clinical application in controlling artificial and robotic prostheses. The first section reviews the different types of non-invasive and invasive electrodes, which include surface and muscular electrodes that can record EMG signals from and stimulate the underlying or implanted muscles. Extraneural electrodes, such as cuff and epineurial electrodes, provide simultaneous interface with many axons in the nerve, whereas intrafascicular, penetrating, and regenerative electrodes may contact small groups of axons within a nerve fascicle. Biological, technological, and material science issues are also reviewed relative to the problems of electrode design and tissue injury. The last section reviews different strategies for the use of information recorded from peripheral interfaces and the current state of control neuroprostheses and hybrid bionic systems.

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Year:  2005        PMID: 16221284     DOI: 10.1111/j.1085-9489.2005.10303.x

Source DB:  PubMed          Journal:  J Peripher Nerv Syst        ISSN: 1085-9489            Impact factor:   3.494


  143 in total

Review 1.  Flexible and stretchable micro-electrodes for in vitro and in vivo neural interfaces.

Authors:  Stéphanie P Lacour; Samia Benmerah; Edward Tarte; James FitzGerald; Jordi Serra; Stephen McMahon; James Fawcett; Oliver Graudejus; Zhe Yu; Barclay Morrison
Journal:  Med Biol Eng Comput       Date:  2010-06-10       Impact factor: 2.602

2.  A hybrid approach for the control of axonal outgrowth: preliminary simulation results.

Authors:  Gianni Ciofani; Pier Nicola Sergi; Jacopo Carpaneto; Silvestro Micera
Journal:  Med Biol Eng Comput       Date:  2010-10-06       Impact factor: 2.602

Review 3.  Neural interfaces for somatosensory feedback: bringing life to a prosthesis.

Authors:  Dustin J Tyler
Journal:  Curr Opin Neurol       Date:  2015-12       Impact factor: 5.710

Review 4.  Implantable neurotechnologies: a review of micro- and nanoelectrodes for neural recording.

Authors:  Anoop C Patil; Nitish V Thakor
Journal:  Med Biol Eng Comput       Date:  2016-01-11       Impact factor: 2.602

Review 5.  Implantable neurotechnologies: electrical stimulation and applications.

Authors:  Sudip Nag; Nitish V Thakor
Journal:  Med Biol Eng Comput       Date:  2016-01-11       Impact factor: 2.602

6.  Design, fabrication and evaluation of a conforming circumpolar peripheral nerve cuff electrode for acute experimental use.

Authors:  Emily L Foldes; D Michael Ackermann; Niloy Bhadra; Kevin L Kilgore; Narendra Bhadra
Journal:  J Neurosci Methods       Date:  2010-12-25       Impact factor: 2.390

Review 7.  Neural engineering to produce in vitro nerve constructs and neurointerface.

Authors:  Bryan J Pfister; Jason H Huang; Niranjan Kameswaran; Eric L Zager; Douglas H Smith
Journal:  Neurosurgery       Date:  2007-01       Impact factor: 4.654

8.  What Can be Learned from the Time Course of Changes in Low-Frequency Stimulated Muscle?

Authors:  Dirk Pette
Journal:  Eur J Transl Myol       Date:  2017-06-24

9.  Noise and selectivity of velocity-selective multi-electrode nerve cuffs.

Authors:  N Donaldson; R Rieger; M Schuettler; J Taylor
Journal:  Med Biol Eng Comput       Date:  2008-08-12       Impact factor: 2.602

10.  Chronic cuffing of cervical vagus nerve inhibits efferent fiber integrity in rat model.

Authors:  Jesse P Somann; Gabriel O Albors; Kaitlyn V Neihouser; Kun-Han Lu; Zhongming Liu; Matthew P Ward; Abigail Durkes; J Paul Robinson; Terry L Powley; Pedro P Irazoqui
Journal:  J Neural Eng       Date:  2017-12-08       Impact factor: 5.379

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