Liu, F;
Jiang, D;
Demosthenous, A;
(2022)
Towards a Fully Implantable Closed-Loop Opto-Electro Stimulation Interface for Motor Neuron Disease Treatment.
In:
Proceedings - 2022 IEEE International Symposium on Circuits and Systems (ISCAS).
(pp. pp. 947-950).
IEEE: Austin, TX, USA.
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Abstract
This paper presents a fully-implantable closed-loop opto-electro stimulation interface for motor neuron disease studies, designed for experiments with freely moving rodents. A low power consumption Bluetooth data link is used to wirelessly control 64 opto-electro stimulation channels and receive neural recording data. The implant is powered by a wirelessly rechargeable lithium-ion battery, which can support 2.5 hours continuous operation with a stimulation output up to 10 mA. The battery is recharged using a QI standard wireless inductive power link, which can deliver >100mW power at a distance of 2 cm. The total size of the implant system is 29 mm × 20 mm × 13 mm. Its performance is compared with the state-of-the-art.
| Type: | Proceedings paper |
|---|---|
| Title: | Towards a Fully Implantable Closed-Loop Opto-Electro Stimulation Interface for Motor Neuron Disease Treatment |
| Event: | 2022 IEEE International Symposium on Circuits and Systems (ISCAS) |
| Dates: | 27 May 2022 - 1 Jun 2022 |
| ISBN-13: | 9781665484855 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/ISCAS48785.2022.9937349 |
| Publisher version: | https://doi.org/10.1109/ISCAS48785.2022.9937349 |
| 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: | Electrophysiological recording, integrated circuits, motor neurone disease, optogenetics, opto-electro stimulation |
| 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 Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10161569 |
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