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Content Provider | IEEE Xplore Digital Library |
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Author | FitzGerald, J.J. Lacour, S.P. McMahon, S.B. Fawcett, J.W. |
Copyright Year | 1964 |
Abstract | An implantable neural interface capable of reliable long-term high-resolution recording from peripheral nerves has yet to be developed. Device design is challenging because extracellular axonal signals are very small, decay rapidly with distance from the axon, and in myelinated fibres are concentrated close to nodes of Ranvier, which are around 1 mum long and spaced several hundred micrometers apart. We present a finite element model examining the electrical behavior of axons in microchannels, and demonstrate that confining axons in such channels substantially amplifies the extracellular signal. For example, housing a 10-mum myelinated axon in a 1-cm-long channel with a 1000-mum2 cross section is predicted to generate a peak extracellular voltage of over 10 mV. Furthermore, there is little radial signal decay within the channel, and a smooth axial variation of signal amplitude along the channel, irrespective of node location. Additional benefits include a greater extracellular voltage generated by large myelinated fibres compared to small unmyelinated axons, and the reduction of gain to unity at the end of the channel which ensures that there can be no crosstalk with electrodes in other channels nearby. A microchannel architecture seems well suited to the requirements of a peripheral nerve interface. |
Sponsorship | IEEE Engineering in Medicine and Biology Society |
Page Count | 11 |
File Size | 1374459 |
Starting Page | 1136 |
Ending Page | 1146 |
File Format | |
ISSN | 00189294 |
Volume Number | 55 |
Issue Number | 3 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-03-01 |
Publisher Place | U.S.A. |
Access Restriction | One Nation One Subscription (ONOS) |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Microchannel Nerve fibers Muscles Extracellular Optical fiber devices Electrodes Humans Voltage Optical fiber sensors Needles peripheral nerve Finite element methods modeling neural interfaces Peripheral Nerve Finite Element Methods Modeling Neural Interfaces |
Content Type | Text |
Resource Type | Article |
Subject | Biomedical Engineering |
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