Título:
A sub-µW intracranial EEG integrated preamplifier
Otros títulos:
Coordinador:
Director:
Compilador:
Autor:
Cabrera, Carolina
Oreggioni, Julián
Oreggioni, Julián
Tutor:
Tipo de documento:
Preprint
Editor:
Palabras clave:
Semiconductor device modeling
Low voltage
Power demand
Prototypes
Voltage
CMOS technology
Brain modeling
Analog integrated circuits
Sub-threshold design
EEG
Low power
DDA
High CMRR
Low voltage
Power demand
Prototypes
Voltage
CMOS technology
Brain modeling
Analog integrated circuits
Sub-threshold design
EEG
Low power
DDA
High CMRR
Descriptores:
Año de publicación:
2022
Contenido:
Resumen:
This work presents an amplifier targeting the acquisition of intracranial electroencephalography signals with low power consumption, low voltage supply, low noise, and high common-mode rejection ratio (CMRR). A prototype was designed in a 180 nm FD-SOI CMOS technology and characterized by simulations. It presents an input noise of 3.2 µV rms , a current consumption of 0.5 µA, and it operates from a 1.8 V voltage supply, which represents a power consumption of 0.9 µW. The bandwidth ranges from 0.1 Hz to 1 kHz, the gain is 40 dB, the CMRR is greater than 79.4 dB, and the Noise Efficiency Factor (NEF) is 2.7.
Descripción:
Presentado y publicado en 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), Taipei, Taiwan, 13-15 oct. 2022, pp. 675-678.
metadata.articulos.dc.description.uri:
Editorial:
EN:
Financiadores:
Este trabajo recibió apoyo de ANII, CSIC y CAP
Citación:
Cabrera, C. y Oreggioni, J. A sub-µW intracranial EEG integrated preamplifier [Preprint]. Publicado en: 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), Taipei, Taiwan, 13-15 oct 2022. ISSN: 2163-4025. DOI: 10.1109/BioCAS54905.2022.9948541
Citación:
metadata.articulos.cc.license.name:
ISBN:
e-ISBN:
ISSN:
ISMN:
Otros identificadores:
Cobertura geográfica:
Cobertura temporal:
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 | ||
|---|---|---|---|---|---|
| CO22.pdf | Preprint | 3.15 MB | Adobe PDF |