Habibollahi, Maryam;
Jiang, Dai;
Lancashire, Henry;
Demosthenous, Andreas;
(2022)
A Bidirectional ASIC for Active Microchannel Neural Interfaces.
In:
2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS).
IEEE: Glasgow, UK.
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Abstract
Closed-loop neural prostheses have been widely used as a therapeutic strategy for a range of neurological, inflammatory, and cardiac disorders. Vagus nerve stimulation has shown promising results for the monitoring and treatment of post-operation symptoms of heart transplant recipients. A prime candidate for selective control of vagal fibres is the microchannel neural interface (MNI), which provides a suitable environment for neural growth and enables effective control of the neural activity in a bidirectional system. This paper presents the design and simulation of an ASIC in 180-nm high-voltage CMOS technology, capable of concurrent stimulation and neural recording with artifact reduction in a seven-channel MNI. The analog front-end amplifies action potentials with a gain of 40 dB, presenting a common-mode rejection ratio of 81 dB at 1 kHz and a noise efficiency factor of 5.13 over the 300 Hz to 5 kHz recording bandwidth. A 42-V-compliant stimulation module operates concurrently and independently across the seven channels.
| Type: | Proceedings paper |
|---|---|
| Title: | A Bidirectional ASIC for Active Microchannel Neural Interfaces |
| Event: | 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS) |
| Dates: | 24 Oct 2022 - 26 Oct 2022 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/icecs202256217.2022.9970803 |
| Publisher version: | https://doi.org/10.1109/ICECS202256217.2022.997080... |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third-party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Heart , Semiconductor device modeling , Neural activity , High-voltage techniques , Recording , Organ transplantation , Monitoring |
| 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 Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10161987 |
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