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Micromachines
Special Issues
Microdevices for Neural Implants: New Approaches, Technology and Processing Strategies
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Microdevices for Neural Implants: New Approaches, Technology and Processing Strategies

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".

Deadline for manuscript submissions: closed (15 October 2021) | Viewed by 1642

Special Issue Editor

Prof. Dr. Michael Pycraft Hughes

E-Mail Website
Guest Editor
Centre for Biomedical Engineering, Department of Mechanical Engineering Sciences, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford GU2 7XH, UK
Interests: cellular electronics; bioelectronics; cellular electrophysiology; biomedical instrumentation

Special Issue Information

Dear colleagues,

In recent years, the development of neural interface microdevices has resulted in revolutions in the remediation of sensory loss, electrical stimulation for the restoration of muscular function, and in directly interfacing with the brain. However, despite these significant achievements, there are still hurdles to overcome. Many of these involve addressing the complexity of the nervous system (where electrode systems must address, or record from, thousands of neurons), the challenges in building robust implantable devices that can withstand the rigors of the body (both mechanical and immune system challenges), the cost of manufacturing and implanting devices, and the depth of follow-up study to calibrate input to output. The experience of cochlear implant development has shown what can be achieved; this Special Issue will promote new ideas, approaches, and paradigms toward the development of a next generation of devices for neural interfaces.

Prof. Dr. Michael Pycraft Hughes
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neural
  • implant
  • detection
  • microelectrode
  • sensor
  • processing

Published Papers (1 paper)

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Research

11 pages, 1447 KiB  
Article
An Algorithm for Tracking the Position and Velocity of Multiple Neuronal Signals Using Implantable Microelectrodes In Vivo
by Lionel M. Broche, Karla D. Bustamante and Michael Pycraft Hughes
Micromachines 2021, 12(11), 1346; https://doi.org/10.3390/mi12111346 - 31 Oct 2021
Viewed by 1181
Abstract
Increasingly complex multi-electrode arrays for the study of neurons both in vitro and in vivo have been developed with the aim of tracking the conduction of neural action potentials across a complex interconnected network. This is usually performed through the use of electrodes [...] Read more.
Increasingly complex multi-electrode arrays for the study of neurons both in vitro and in vivo have been developed with the aim of tracking the conduction of neural action potentials across a complex interconnected network. This is usually performed through the use of electrodes to record from single or small groups of microelectrodes, and using only one electrode to monitor an action potential at any given time. More complex high-density electrode structures (with thousands of electrodes or more) capable of tracking action potential propagation have been developed but are not widely available. We have developed an algorithm taking data from clusters of electrodes positioned such that action potentials are detected by multiple sites, and using this to detect the location and velocity of action potentials from multiple neurons. The system has been tested by analyzing recordings from probes implanted into the locust nervous system, where recorded positions and velocities correlate well with the known physical form of the nerve. Full article
(This article belongs to the Special Issue Microdevices for Neural Implants: New Approaches, Technology and Processing Strategies)
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