Cited by 15Neuroscience and Neural EngineeringAnalog and Mixed-Signal Circuit DesignCCD and CMOS Imaging Sensors

An ASIC for Recording and Stimulation in Stacked Microchannel Neural Interfaces

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Lancashire, Henry T., Jiang, Dai, Demosthenous, Andreas, Donaldson, Nick·2019·IEEE Transactions on Biomedical Circuits and Systems

Abstract

ASIC is implemented in 0.35 μm high-voltage CMOS technology. Each ASIC is the base for seven microchannels each with three electrodes in a pseudo-tripolar arrangement. Multiplexing allows stimulating or recording from any one of 49 channels, across seven ASICs. Connections to the ASICs are made with a five-line parallel bus. Current controlled biphasic stimulation from 5 to 500 μA has been demonstrated with switching between channels and ASICs. The high-voltage technology gives a compliance of 40 V for stimulation, appropriate for the high impedances within microchannels. High frequency biphasic stimulation, up to 40 kHz is achieved, suitable for reversible high frequency nerve blockades. Recording has been demonstrated with mV level signals; common-mode inputs are differentially distorted and limit the CMRR to 40 dB. The ASIC has been used in vitro in conjunction with an oversize (2 mm diameter) microchannel in phosphate buffered saline, demonstrating attenuation of interference from outside the microchannel and tripolar recording of signals from within the microchannel. By using five-lines for 49 active microchannels the device overcomes limitations when connecting many electrodes in a 3-D miniaturized nerve interface.

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Crossref · 10.1109/tbcas.2019.2891284

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  • Proximity of interface sites on tissue can result in crosstalk between channels due to current spread, which can compromise efficacy of the neural interface solution, requiring electrical or physical isolation between interface channels.

    “However, the proximity of interface sites on the tissue can result in crosstalk between channels due to current spread. This can compromise the efficacy of the neural interface solution [77], requiring electrical [78] or physical isolation between the interface channel [71].”

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References 66 · Cited by 15

Authors
Lancashire, H. T., Jiang, D., Demosthenous, A., & Donaldson, N.
Affiliations
University College London (GB)
Venue
IEEE Transactions on Biomedical Circuits and Systems
Published
2019-04
Volume
13
Issue
2
Pages
259-270
ISSN
  • 1932-4545 (ISSN-L)
  • 1940-9990
OpenAlex
W2909059685
Cited by
15
References
66
Citations by year
2025: 1 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 6 · 2020: 1 · 2019: 2
FWCI
1.19
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Biomedical Circuits and Systems (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Funders
Engineering and Physical Sciences Research Council (EP/M506448/1)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › CCD and CMOS Imaging Sensors
Keywords
ASIC, high-voltage CMOS, biphasic stimulation, neural recording, multiplexing, common-mode rejection, electrode impedance
MeSH terms
Brain, Electric Stimulation, Electricity, Electrodes, Electrodes, Implanted, Electronics, Medical, Signal Processing, Computer-Assisted

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