Analog front-end circuit with low-noise amplifier and high-pass sigma-delta modulator for an EEG or ECoG acquisition system

Jia Hua Hong*, Ming Chun Liang, Ming Yang Haung, Tsung Heng Tsai, Qiang Fang, Shuenn Yuh Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

The present paper proposes an analog front-end (AFE) circuit, including only one low-noise amplifier with chopping techniques and one high-pass sigma-delta modulator (HPSDM), which can be applied as a sensing circuit for electroencephalogram or electrocorticogram (ECoG) signal acquisition systems. The low-noise amplifier, which has a close-loop gain of 20 V/V and CMRR of 109.6 dB, is implemented by a differential difference amplifier with feedback pseudo-resistors and capacitors. The HPSDM is implemented in a feed-forward architecture with an order of 3, an oversampling ratio of 128, and a 1-bit quantizer under a sampling frequency of 51.2 kHz. The TSMC 0.18 μm 1P6M CMOS process is used in the entire AFE circuit with a supply voltage of 1.2 V and power consumption of 28.7 μW. Within the maximum range of ECoG signals, the simulated SNR and SFDR of the entire AFE circuits are 70.8 and 73 dB, respectively.

Original languageEnglish
Title of host publicationProceedings of 2011 International Symposium on Bioelectronics and Bioinformatics, ISBB 2011
Pages17-20
Number of pages4
DOIs
StatePublished - 2011
Event2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011 - Suzhou, China
Duration: 3 Nov 20115 Nov 2011

Publication series

NameProceedings of 2011 International Symposium on Bioelectronics and Bioinformatics, ISBB 2011

Conference

Conference2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011
Country/TerritoryChina
CitySuzhou
Period3/11/115/11/11

Fingerprint

Dive into the research topics of 'Analog front-end circuit with low-noise amplifier and high-pass sigma-delta modulator for an EEG or ECoG acquisition system'. Together they form a unique fingerprint.

Cite this