A Low-Power 0.7 $\mu {\rm V_{rms}}$ 32-Channel Mixed-Signal Circuit for ECoG Recordings
Abstract
Monitoring of electrocorticography signals using multi-electrode array creates new opportunities for neural prosthetic applications. In this paper, we present a 32-channel recording ASIC that provides low-noise amplification and analog filtering. It also includes a 12-bit analog-to-digital conversion function, and offers programmable output rates through a serial peripheralinterface (SPI). The targeted application is a remote-powered wireless implantable ECoG recording system. Each recording channel has a measured 0.7$\mu {\rm V_{\rm rms}}$input-referred noise on a [0.5–300 Hz] bandwidth. The device was fabricated in a 0.35$\mu{\rm m}$complementary metal–oxide–semiconductor process for a total die area of 86${\hbox {mm}} ^{2}$with an analog power consumption limited to 134$\mu {\rm W}$per channel.
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- Authors
- Robinet, S., Audebert, P., Regis, G., Zongo, B., Beche, J.-F., Condemine, C., Filipe, S., & Charvet, G.
- Affiliations
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- ORCID
- Charvet, Guillaume
- Venue
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- Published
- 2011-12
- Volume
- 1
- Issue
- 4
- Pages
- 451-460
- ISSN
- 2156-3357 (ISSN-L)
- 2156-3365
- OpenAlex
- W2020931149
- Cited by
- 30
- References
- 14
- Citations by year
- 2024: 1 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 3 · 2019: 3 · 2018: 2 · 2017: 3 · 2016: 2 · 2015: 2 · 2014: 3 · 2013: 5 · 2012: 2
- FWCI
- 1.89
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Journal on Emerging and Selected Topics in Circuits and Systems (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Radio Frequency Integrated Circuit Design
- Keywords
- electrocorticography, low-power analog front-end, microelectrode arrays, neuroprosthetics, input-referred noise, low-noise amplification, analog filtering, 12-bit analog-to-digital converter, serial peripheral interface, remote power supply
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