Ponencia
A 2.2 μW analog front-end for multichannel neural recording
Autor/es | Valtierra, José Luis
Delgado Restituto, Manuel Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2017 |
Fecha de depósito | 2019-11-29 |
Publicado en |
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ISBN/ISSN | 978-1-5090-5859-4 2473-4667 |
Resumen | In this paper an analog front-end for the multi-channel implantable recording of neural signals is presented. It is comprised by a two-stage AC-coupled low-noise amplifier (LNA) and a one stage AC-coupled variable gain ... In this paper an analog front-end for the multi-channel implantable recording of neural signals is presented. It is comprised by a two-stage AC-coupled low-noise amplifier (LNA) and a one stage AC-coupled variable gain amplifier (VGA). The proposed architecture employs highly power-noise efficient current reuse fully differential OTAs in the LNA stage and a fully differential folded cascode for the VGA stage. Simulation results in AMS 0.18μm validate the proposed architecture under process corners variations with an estimated power consumption of 2.2μm and 3.1 μVrms in-band noise. |
Identificador del proyecto | TEC2016- 80923-P
N000141110312 |
Cita | Valtierra, J.L., Delgado Restituto, M. y Rodríguez Vázquez, Á.B. (2017). A 2.2 μW analog front-end for multichannel neural recording. En IEEE 8th Latin American Symposium on Circuits & Systems (LASCAS) Bariloche, Argentina: Institute of Electrical and Electronics Engineers. |
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