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 2017

Special Issue Editor


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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

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Keywords

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

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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 1469
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
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