Habibollahi, Maryam;
Li, Jiayang;
Almarri, Noora;
Jiang, Dai;
Lancashire, Henry;
Demosthenous, Andreas;
(2024)
A High-Voltage, Implantable ASIC for Active Interfaces of the Vagus Nerve.
In:
2023 IEEE Biomedical Circuits and Systems Conference (BioCAS).
(pp. pp. 1-4).
IEEE: Toronto, Canada.
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Abstract
Versatility of neural interfaces is a key factor in the efficacy of bioelectronic solutions for treating neurological and cardiac disorders. High-density and highly selective interfaces demand a small form factor, resulting in very high electrode impedances that require a large compliance voltage. This paper presents the design of a low-noise, electrode-driving ASIC in 180-nm high-voltage CMOS technology to achieve concurrent stimulation and recording for vagus nerve interfaces. Inter-channel crosstalk is minimized using pole-shifting. The ASIC has a variable recording gain of 60 to 74 dB and programmable, stimulating currents of 4 to 124 μA, which account for variations in the electrode characteristics. The ASIC occupies an area of 2.31 mm2. Measured results show clear biphasic stimulus pulses ranging in widths from 10 to 500 μs. To address the impact of artifacts on biopotential recording, the recording amplifier has a very low input-referred noise of 2.92 μVrms over a variable bandwidth that ranges from 300 Hz to 1.4 kHz or 6.6 kHz with or without pole shifting, respectively.
| Type: | Proceedings paper |
|---|---|
| Title: | A High-Voltage, Implantable ASIC for Active Interfaces of the Vagus Nerve |
| Event: | 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS) |
| Dates: | 19 Oct 2023 - 21 Oct 2023 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/biocas58349.2023.10389014 |
| Publisher version: | http://dx.doi.org/10.1109/biocas58349.2023.1038901... |
| 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: | Electrodes , Pulse measurements , Current measurement , Neural activity , Crosstalk , High-voltage techniques , Bandwidth |
| 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 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/10188349 |
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