32.9 nV/rt Hz ${-}$60.6 dB THD Dual-Band Micro-Electrode Array Signal Acquisition IC
Abstract
The dual-band recording of the local-field potential (LFP, 0.1-200 Hz) and the spike potential (SP, 200 Hz-10 kHz) is important for physiological studies at the cellular level. Recent study shows that the LFP signal plays important roles in modulating many profound cellular mechanisms. Although various bio-signal acquisition circuits have been reported over the years, few designs are applicable to capture both LFP and SP signals. To record both signals accurately, acquisition circuits need low noise and good linearity in both bands. In this paper, we report the design of a dual-band acquisition IC for microelectrode array (MEA) recording. The novel design uses a continuous-time (CT) front-end with chopping to suppress the noise in the LFP band, and a discrete-time (DT) back-end to achieve good linearity. The acquisition channel is fully differential, which leads to a high common-mode rejection ratio (CMRR) and power supply rejection ratio (PSRR) without the 50 Hz injection. The design interfaces the microelectrode with a transistor gate, which has high input impedance. A prototype monolithic acquisition IC is fabricated in a 0.35 μm CMOS process. It includes 16 channels and an 11 bit successive-approximation (SAR) analog-to-digital converter (ADC). Every channel acquires cellular signals up to 20 mVppwith 32.9 nV/Hz0.5andrms. For SP signal, the recording noise is 3.3 μVrms. The new design has high input impedance (320 M Ω@1 kHz), high CMRR ( >; 110 dB) and PSRR ( >; 110 dB).…
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Neural amplifier ICs have been created that capture both action potentials and local field potentials, with separate filtering, amplification and output for each signal type.
“CNS amplifiers have also been developed that can acquire both types of signals, separately filtering, amplifying and outputting each signal type [46, 86, 100].”
From Implantable neurotechnologies: a review of integrated circuit neural amplifiers (2016) · cites this paper as [46]
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Implantable neurotechnologies: a review of integrated circuit neural amplifiers
Ng, K. A., Greenwald, E., Xu, Y. P., & Thakor, N. V. (2016) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-015-1431-3 · Cited by 83 · see citing works
- Authors
- Guo, J., Yuan, J., Huang, J., Law, J. K.-Y., Yeung, C.-K., & Chan, M.
- Affiliations
- Hong Kong University of Science and Technology (HK)
- Chinese University of Hong Kong (HK)
- Venue
- IEEE Journal of Solid-State Circuits
- Published
- 2012-05
- Volume
- 47
- Issue
- 5
- Pages
- 1209-1220
- ISSN
- 0018-9200 (ISSN-L)
- 1558-173X
- OpenAlex
- W2014058719
- Cited by
- 45
- References
- 42
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 5 · 2020: 2 · 2019: 5 · 2018: 5 · 2017: 3 · 2016: 5 · 2015: 6 · 2014: 3 · 2013: 3 · 2012: 2
- FWCI
- 2.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Journal of Solid-State Circuits (publishedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Analog and Mixed-Signal Circuit Design
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Radio Frequency Integrated Circuit Design
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- microelectrode arrays, local field potentials, spike potentials, fully differential amplifier, common-mode rejection ratio, power supply rejection ratio, successive approximation register ADC, noise efficiency factor, CMOS integrated circuit, rat cardiomyocytes, cellular electrophysiology
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