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An implantable ENG detector with in-system velocity selective recording (VSR) capability

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Abstract

Detection and classification of electroneurogram (ENG) signals in the peripheral nervous system can be achieved by velocity selective recording (VSR) using multi-electrode arrays. This paper describes an implantable VSR-based ENG recording system representing a significant development in the field since it is the first system of its type that can record naturally evoked ENG and be interfaced wirelessly using a low data rate transcutaneous link. The system consists of two CMOS ASICs one of which is placed close to the multi-electrode cuff array (MEC), whilst the other is mounted close to the wireless link. The digital ASIC provides the signal processing required to detect selectively ENG signals based on velocity. The design makes use of an original architecture that is suitable for implantation and reduces the required data rate for transmission to units placed outside the body. Complete measured electrical data from samples of the ASICs are presented that show that the system has the capability to record signals of amplitude as low as 0.5 μV, which is adequate for the recording of naturally evoked ENG. In addition, measurements of electrically evoked ENG from the explanted sciatic nerves of Xenopus Laevis frogs are presented.

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Acknowledgments

The authors would like to acknowledge funding support from the following sources: (1) European Commission Project title: Implantable Multi-contact Active Nerve Electrode (IMANE), project no. 026602; (2) Taiwan Ministry of Science and Technology (MOST) grant no. MOST 103-2221-E-110-026-MY2.

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Authors and Affiliations

  1. Department of Electronic and Electrical Engineering, University of Bath, Bath, UK

    Chris Clarke & John Taylor

  2. Electrical Engineering Department, National Sun Yat-Sen University, 804, Kaohsiung, Taiwan

    Robert Rieger

  3. Laboratory for Biomedical Microtechnology, Department of Microsystems Engineering IMTEK, University of Freiburg, Freiburg, Germany

    Martin Schuettler

  4. Department of Medical Physics and Biomedical Engineering, University College London, London, UK

    Nick Donaldson

Authors
  1. Chris Clarke
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  2. Robert Rieger
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  3. Martin Schuettler
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  4. Nick Donaldson
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  5. John Taylor
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Correspondence to John Taylor.

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Clarke, C., Rieger, R., Schuettler, M. et al. An implantable ENG detector with in-system velocity selective recording (VSR) capability. Med Biol Eng Comput 55, 885–895 (2017). https://doi.org/10.1007/s11517-016-1567-9

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  • DOI: https://doi.org/10.1007/s11517-016-1567-9

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