Design of a 1.8-µVrms IRN 180-dB CMRR configurable low-noise 6-channel analog front-end for neural recording systems on 180nm CMOS process-Reference-Cited by-同舟云学术

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Design of a 1.8-µVrms IRN 180-dB CMRR configurable low-noise 6-channel analog front-end for neural recording systems on 180nm CMOS process

Published:2023-07-10 Issue:13 Volume:20 Page:20230218-20230218
ISSN:1349-2543
Container-title:IEICE Electronics Express
language:en
Short-container-title:IEICE Electron. Express

Author:

Le Duc-Hung¹,Pham The-Hung¹

Affiliation:

1. Faculty of Electronics and Telecommunications, University of Science, Vietnam National University Ho Chi Minh City

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

https://www.jstage.jst.go.jp/article/elex/20/13/20_20.20230218/_pdf

Reference32 articles.

1. [1] M. Pais-Vieira, et al.: “A closed loop brain-machine interface for epilepsy control using dorsal column electrical stimulation,” Scientific Reports 6 (2019) 1 (DOI: 10.1038/srep32814).

2. [2] R. Gravina and G. Fortino: “Wearable body sensor networks: state-of-the-art and research directions,” IEEE Sensors J. 21 (2021) 12511 (DOI: 10.1109/JSEN.2020.3044447).

3. [3] S. Ullah, et al.: “A comprehensive survey of wireless body area networks,” J. Med. Syst. 36 (2012) 1065 (DOI: 10.1007/s10916-010-9571-3).

4. [4] M. Lebedev and M.A.L. Nicolelis: “Brain-machine interfaces: past, present & future,” Trends in Neurosci. 29 (2006) 536 (DOI: 10.1016/j.tins.2006.07.004).

5. [5] X. Liu, et al.: “A fully integrated wireless compressed sensing neural signal acquisition system for chronic recording and brain-machine interface,” IEEE Trans. Biomed. Circuits Syst. 10 (2016) 874 (DOI: 10.1109/TBCAS.2016.2574362).

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