Abstract
The front-end amplifier is an essential component in neurological monitoring systems for signal detection and preprocessing, affecting besides the quality of the biosignal but additionally detector size and usage of power. In this study, a unique dual feedback loop-controlled method is presented to account for both signal leakage through the input bias network and leakage currents produced by low-noise amplifiers when they are implemented as integrated circuits. The Front-End Amplifier (FEA) is guaranteed to retain a significant input impedance despite all manufacturing and operating changes thanks to this loop design. Results from simulations using the 65 nm CMOS technology are given. This FEA uses 3.14 μW and accomplishes an input impedance of 2 TΩ and input referred noise of 23 pV/√Hz.
Original language | English |
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Title of host publication | Proceedings of 3rd International Conference on Computational Electronics for Wireless Communications - ICCWC 2023 |
Editors | Sanyog Rawat, Arvind Kumar, Ashish Raman, Sandeep Kumar, Parul Pathak |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 261-267 |
Number of pages | 7 |
ISBN (Print) | 9789819719426 |
DOIs | |
Publication status | Published - 2025 |
Externally published | Yes |
Event | 3rd International Conference on Computational Electronics for Wireless Communications, ICCWC 2023 - Jalandhar, India Duration: 22 Dec 2023 → 23 Dec 2023 |
Publication series
Name | Lecture Notes in Networks and Systems |
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Volume | 959 LNNS |
ISSN (Print) | 2367-3370 |
ISSN (Electronic) | 2367-3389 |
Conference
Conference | 3rd International Conference on Computational Electronics for Wireless Communications, ICCWC 2023 |
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Country/Territory | India |
City | Jalandhar |
Period | 22/12/23 → 23/12/23 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.