Clarke, C;
Rieger, R;
Schuettler, M;
Donaldson, N;
Taylor, J;
(2017)
An implantable ENG detector with in-system velocity selective recording (VSR) capability.
Medical & Biological Engineering & Computing
, 55
(6)
pp. 885-895.
10.1007/s11517-016-1567-9.
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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.
| Type: | Article |
|---|---|
| Title: | An implantable ENG detector with in-system velocity selective recording (VSR) capability |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s11517-016-1567-9 |
| Publisher version: | http://dx.doi.org/10.1007/s11517-016-1567-9 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Life Sciences & Biomedicine, Computer Science, Interdisciplinary Applications, Engineering, Biomedical, Mathematical & Computational Biology, Medical Informatics, Computer Science, Engineering, Biomedical signal processing, Biomedical transducers, Microelectronic implants, Neural prosthesis, CMOS Technology |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1552335 |
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