Design and analysis of CMOS low power variable gain amplifier for biomedical applications

Design and analysis of CMOS low power variable gain amplifier for biomedical applications | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Design and analysis of CMOS low power variable gain amplifier for biomedical applications Rahma Aloulou, ben belgacem, Sawssen Lahiani, Hassen Mnif, Mourad Loulou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7065101/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 08 Oct, 2025 Read the published version in Analog Integrated Circuits and Signal Processing → Version 1 posted 14 You are reading this latest preprint version Abstract This study falls within the radio frequency transmission of biomedical applications, where the variable gain amplifier (VGA) presents a key element since it adjusts the radio receiver performance. Due to the sensitivity of this field, the VGA should be characterized by a wide gain variation range and low power consumption and noise. In this contribution, we propose an optimized VGA structure in CMOS technology for biomedical applications. The optimizations are performed at two levels: architectural and dimensional. For the architecture, the optimization is presented by the addition of a telescopic operational transconductance amplifier to the basic VGA cell in order to extend the gain variation range. As for the dimensional optimization: we develop an optimization algorithm, based on the heuristic maximization methodology, to adjust the optimal dimensioning of the different transistors of the VGA structure. Our proposal achieves considerable improvements over the existing characteristics of biomedical signal processing. Actually, it presents a reliable low power topology (consumption of 33.52 µW) which ensures a wide dynamic gain range that reaches 89.65 dB varying from − 19.72 dB to 69.93 dB. variable gain amplifier operational transconductance amplifier biomedical application low power optimization algorithm wide dynamic gain range Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 08 Oct, 2025 Read the published version in Analog Integrated Circuits and Signal Processing → Version 1 posted Editorial decision: Revision requested 01 Aug, 2025 Reviews received at journal 01 Aug, 2025 Reviews received at journal 31 Jul, 2025 Reviews received at journal 28 Jul, 2025 Reviews received at journal 22 Jul, 2025 Reviewers agreed at journal 13 Jul, 2025 Reviewers agreed at journal 11 Jul, 2025 Reviewers agreed at journal 10 Jul, 2025 Reviewers agreed at journal 10 Jul, 2025 Reviewers agreed at journal 10 Jul, 2025 Reviewers invited by journal 10 Jul, 2025 Editor assigned by journal 09 Jul, 2025 Submission checks completed at journal 09 Jul, 2025 First submitted to journal 07 Jul, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7065101","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":484587801,"identity":"c9ea1316-6765-4001-9799-20be35539715","order_by":0,"name":"Rahma 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