A Low-Noise Low-Power 0.001Hz–1kHz Neural Recording System-on-Chip With Sample-Level Duty-Cycling-Reference-Cited by-同舟云学术

A Low-Noise Low-Power 0.001Hz–1kHz Neural Recording System-on-Chip With Sample-Level Duty-Cycling

Published:2024-04 Issue:2 Volume:18 Page:263-273
ISSN:1932-4545
Container-title:IEEE Transactions on Biomedical Circuits and Systems
language:
Short-container-title:IEEE Trans. Biomed. Circuits Syst.

Author:

Wu Jiajia¹^ORCID,Akinin Abraham²^ORCID,Somayajulu Jonathan³^ORCID,Lee Min S.³^ORCID,Paul Akshay³^ORCID,Lu Hongyu¹^ORCID,Park Yongjae⁴^ORCID,Kim Seong-Jin⁴^ORCID,Mercier Patrick P.¹^ORCID,Cauwenberghs Gert³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA

2. Lawrence Livermore National Laboratory, Livermore, CA, USA

3. Shu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, CA, USA

4. Department of Electrical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea

Funder

National Institutes of Health NIMH/NINDS

Defense Advanced Research Projects Agency Massive Cross-Correlation

Air Force Office of Scientific Research

Lawrence Livermore National Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/4156126/10487173/10444781-aam.pdf

Reference31 articles.

1. Chapter 1.1—Wearables: Fundamentals, advancements, and a roadmap for the future;Park,2014

2. Wearable Chemical Sensors: Present Challenges and Future Prospects

3. In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat;Xu;Nature Biomed. Eng.,2023

4. A Versatile In-Ear Biosensing System and Body-Area Network for Unobtrusive Continuous Health Monitoring

5. Computational Diagnostic Techniques for Electrocardiogram Signal Analysis