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A Comprehensive Analytical Approach to Introspect Efficient Miniaturized Circuit-Level Designs for Biomedical Signal Acquisition: A Tutorial Brief

  • Umar Mohammad
  • , Ying Zhang
  • , Muhammad Zada
  • , Maolin Zhang
  • , Fang Tang
  • , Yufeng Guo*
  • , Amine Bermak
  • *Corresponding author for this work
  • Nanjing University of Posts and Telecommunications
  • National and Local Joint Engineering Laboratory for RF Integration and Micro-Assembly Technologies
  • ETH Zurich—Institute for Particle Physics and Astrophysics (IPA)
  • Chongqing University
  • Hong Kong University of Science and Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Health care technology is advancing rapidly, transforming diagnostics through compact, noninvasive, and user-friendly biomedical devices. For instance, a diabetes diagnosis that once required significant blood volume can now be achieved in seconds using a nano-pinch sample. Recent developments in portable and wearable systems have minimized the need for invasive procedures, enabling continuous, real-time monitoring, especially among aging populations. This growing demand underscores the need for compact, energy-efficient, and affordable biomedical systems seamlessly integrated into daily life. This tutorial brief provides an in-depth analytical perspective on low-noise, low-cost, and low-power circuit-level design strategies for next-generation biomedical devices. Challenges and escape-out methods for low-noise design implementations are broadly discussed in this work. The study consolidates noise-reduction techniques, such as correlated double sampling and multistage amplifier configurations, and highlights their impact on signal integrity, power efficiency, and scalability. It also addresses design trade-offs and cost considerations, offering a practical framework for researchers developing efficient analog front-end (AFE) architectures for wearable and implantable biomedical applications. Finally, the results presented in this work were carried out in Cadence Virtuoso using 65-nm CMOS TSMC technology node.

Original languageEnglish
Pages (from-to)6567-6578
Number of pages12
JournalIEEE Sensors Journal
Volume26
Issue number5
DOIs
Publication statusPublished - 12 Jan 2026

Keywords

  • Blood glucose monitoring-BGL
  • light to frequency converter circuits
  • noise cancellation circuits
  • photoplethysmography (PPG)
  • pulse generator
  • transimpedance amplifier (TIA)

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