The continuous long-term monitoring of human vital signs is crucial for modern healthcare systems, enabling early diagnosis, personalized treatment, and real-time health tracking. However, the integration of multiple physiological signal acquisition circuits into a single wearable device presents significant challenges, particularly in terms of power consumption, device miniaturization, and cost efficiency. This article discusses the challenges and advancements in integrating multiple physiological signal acquisition circuits into a single wearable device. It examines state-of-the-art techniques for low-power measurement of electrocardiography (ECG), bio-impedance analysis (BIA), and non-invasive glucose monitoring (NICGM). Various circuit architectures and methodologies are analyzed, along with potential strategies for sharing a common readout channel among multiple signals. The discussion aims to provide insights into optimizing power efficiency, reducing system area, and minimizing costs, ultimately contributing to the development of more efficient and compact wearable health monitoring devices.

Towards a Generalized Analog Front-End for Multiple Biomedical Signals Acquisition: A Review

Omran A.
;
Aprile A.;Moisello E.;Malcovati P.;Bonizzoni E.
2025-01-01

Abstract

The continuous long-term monitoring of human vital signs is crucial for modern healthcare systems, enabling early diagnosis, personalized treatment, and real-time health tracking. However, the integration of multiple physiological signal acquisition circuits into a single wearable device presents significant challenges, particularly in terms of power consumption, device miniaturization, and cost efficiency. This article discusses the challenges and advancements in integrating multiple physiological signal acquisition circuits into a single wearable device. It examines state-of-the-art techniques for low-power measurement of electrocardiography (ECG), bio-impedance analysis (BIA), and non-invasive glucose monitoring (NICGM). Various circuit architectures and methodologies are analyzed, along with potential strategies for sharing a common readout channel among multiple signals. The discussion aims to provide insights into optimizing power efficiency, reducing system area, and minimizing costs, ultimately contributing to the development of more efficient and compact wearable health monitoring devices.
2025
The Electrical and Electronics Engineering category covers resources concerned with applications of electricity, generally those involving current flow through conductors, as in motors and generators. This category also covers the examination of the conduction of electricity through gases or a vacuum as well as through semiconducting materials. Topics include image and signal processing, electromagnetics, electronic components and materials, microwave technology, and microelectronics.
Esperti anonimi
Inglese
Internazionale
ELETTRONICO
25
21
39338
39352
15
Bioimpedance analysis (BIA); Biopotential signals; Electrocardiogram (ECG); Non-invasive continuous glucose monitoring (NICGM)
7
info:eu-repo/semantics/article
262
Omran, A.; Aprile, A.; Moisello, E.; Tatu, V.; Calabro, R.; Malcovati, P.; Bonizzoni, E.
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1535656
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