Circuit Innovations for Wearable Biomedical Monitoring: CMOS Analog Front-Ends and Data Converter Architectures

Wearable biomedical monitoring systems increasingly demand CMOS interfaces capable of operating under stringent energy, voltage, and environmental constraints while maintaining a reliable acquisition of weak physiological signals. In this context, analog front-ends (AFEs) and data converters have evolved toward increasingly co-designed architectures that jointly address power consumption, signal fidelity, electrode-interface constraints, and robustness to real-world perturbations. This review examines recent circuit innovations in CMOS AFEs and AFE–ADC interfaces for wearable biomedical monitoring with emphasis on the circuit-level mechanisms used to improve power efficiency, noise performance, dynamic-range management, interface robustness, and tolerance to variability and artifacts. The review first establishes the physical and circuit-level constraints governing low-power biomedical acquisition and then organizes standalone AFE techniques according to three complementary design objectives: power, precision, and robustness. Particular attention is given to architectures that integrate or redistribute conventional AFE functions within the data-conversion path, including functional absorption, analog-resource reuse, and signal-domain transformation. Representative implementations from approximately the last five years are compared using reported circuit and system metrics to identify the trade-offs associated with these architectural choices. The resulting perspective highlights the transition from isolated block optimization toward circuit and architectural co-design for energy-efficient, robust wearable biomedical interfaces.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2026-10-13
DOI
https://doi.org/10.3390/electronics15204695
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Circuit Innovations for Wearable Biomedical Monitoring: CMOS Analog Front-Ends and Data Converter Architectures

Michele Dei, Soumaya Sakouhi
Electronics
Analog and Mixed-Signal Circuit Design
article

Circuit Innovations for Wearable Biomedical Monitoring: CMOS Analog Front-Ends and Data Converter Architectures

Michele Dei, Soumaya Sakouhi
article en

Abstract

Wearable biomedical monitoring systems increasingly demand CMOS interfaces capable of operating under stringent energy, voltage, and environmental constraints while maintaining a reliable acquisition of weak physiological signals. In this context, analog front-ends (AFEs) and data converters have evolved toward increasingly co-designed architectures that jointly address power consumption, signal fidelity, electrode-interface constraints, and robustness to real-world perturbations. This review examines recent circuit innovations in CMOS AFEs and AFE–ADC interfaces for wearable biomedical monitoring with emphasis on the circuit-level mechanisms used to improve power efficiency, noise performance, dynamic-range management, interface robustness, and tolerance to variability and artifacts. The review first establishes the physical and circuit-level constraints governing low-power biomedical acquisition and then organizes standalone AFE techniques according to three complementary design objectives: power, precision, and robustness. Particular attention is given to architectures that integrate or redistribute conventional AFE functions within the data-conversion path, including functional absorption, analog-resource reuse, and signal-domain transformation. Representative implementations from approximately the last five years are compared using reported circuit and system metrics to identify the trade-offs associated with these architectural choices. The resulting perspective highlights the transition from isolated block optimization toward circuit and architectural co-design for energy-efficient, robust wearable biomedical interfaces.

ElectronicsVol. 15(20)
University of Pisa (IT), Universitat Autònoma de Barcelona (ES)
Openalex Percentile: Top 24%
Analog and Mixed-Signal Circuit Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.