Título:
Current-efficient preamplifier architecture for CMRR sensitive neural recording applications
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Autor:
Oreggioni, Julián
Caputi, Angel
Silveira, Fernando
Caputi, Angel
Silveira, Fernando
Tutor:
Tipo de documento:
Artículo
Editor:
Palabras clave:
Transconductance
Computer architecture
Electrodes
Gain
Transistors
Biological systems
Microprocessors
Analog integrated circuits
Bandpass filter
Differential difference amplifier
Electric fish
High CMRR
In vivo recording
Low-power
Neural amplifier
Sub-threshold design
Computer architecture
Electrodes
Gain
Transistors
Biological systems
Microprocessors
Analog integrated circuits
Bandpass filter
Differential difference amplifier
Electric fish
High CMRR
In vivo recording
Low-power
Neural amplifier
Sub-threshold design
Descriptores:
Año de publicación:
2018
Contenido:
Resumen:
There are neural recording applications in which the amplitude of common-mode interfering signals is several orders of magnitude higher than the amplitude of the signals of interest. This challenging situation for neural amplifiers occurs, among other applications, in neural recordings of weakly electric fish or nerve activity recordings made with cuff electrodes. This paper reports an integrated neural amplifier architecture targeting invivo recording of local field potentials and unitary signals from the brain stem of a weakly electric fish Gymnotus omarorum. The proposed architecture offers low noise, high common-mode rejection ratio (CMRR), current-efficiency, and a high-pass frequency fixed without MOS pseudoresistors. The main contributions of this work are the overall architecture coupled with an efficient and simple single-stage circuit for the amplifier main transconductor, and the ability of the amplifier to acquire biopotential signals from high-amplitude common-mode interference in an unshielded environment. A fully-integrated neural preamplifier, which performs well in line with the state-of-the-art of the field while providing enhanced CMRR performance, was fabricated in a 0.5 μm CMOS process. Results from measurements show that the gain is 49.5 dB, the bandwidth ranges from 13 Hz to 9.8 kHz, the equivalent input noise is 1.88 μVrms, the CMRR is 87 dB and the Noise Efficiency Factor is 2.1. In addition, in-vivo recordings of weakly electric fish neural activity performed by the proposed amplifier are introduced and favorably compared with those of a commercial laboratory instrumentation system.
Descripción:
Este trabajo fue parcialmente financiado por CSIC (Comisión Sectorial de Investigación Científica, Uruguay), ANII (Agencia Nacional de Investigación e Innovación, Uruguay) y CAP (Comisión Académica de Posgrado, Uruguay).
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Editorial:
IEEE
EN:
IEEE Transactions on Biomedical Circuits and Systems, Volume 12, Number 3, p. 689-699, Jun 2018
Financiadores:
Citación:
Oreggioni, J., Caputi, A. y Silveira, F. "Current-efficient preamplifier architecture for CMRR sensitive neural recording applications". IEEE Transactions on Biomedical Circuits and Systems. [en línea]. 2018, vol. 12, no 3, pp. 689-699, DOI: 10.1109/TBCAS.2018.2826720
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Departamento académico:
Electrónica
Grupo de investigación:
Microelectrónica
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| OCS18.pdf | Preprint | 6.07 MB | Adobe PDF |