Balancing sensitivity and integration in capacitive pressure sensors for textile-based health monitoring

Abstract Capacitive pressure sensors (CPSs) are increasingly important for wearable and textile-based health monitoring due to their high sensitivity, low power consumption, and structural flexibility. Building on a structured literature review (2015–2025), we conducted a systematic analysis of 34 CPS designs across five categories—microstructuring, foams, ionic liquids/gels/metals, bioinspired architectures, and multisensing/strong bonding—using a newly developed Textile Suitability Score (TSS) that integrates nine performance and integration-relevant attributes. Trade-off analysis revealed that ionic metal-based sensors dominate in raw performance, combining very high sensitivity with broad pressure ranges, but face scalability and textile-compatibility challenges. By contrast, microstructuring offers the closest balance between sensitivity and integration, while multisensing and strong bonding form a consistent cluster with the highest TSS values. Foams and bioinspired designs ranked lower due to reproducibility and stability issues. Together, these results expose clear performance-integration trade-offs and uncover unexplored design pathways, charting a roadmap for next-generation textile-integrated health monitoring systems.

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Publication Details

Journal
npj Biosensing
Published
2025-11-07
DOI
https://doi.org/10.1038/s44328-025-00059-6
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Balancing sensitivity and integration in capacitive pressure sensors for textile-based health monitoring

Carlo Menon, Mohamed Elgendi, Maria Papaefstathiou
npj Biosensing
Advanced Sensor and Energy Harvesting Materials
article

Balancing sensitivity and integration in capacitive pressure sensors for textile-based health monitoring

Carlo Menon, Mohamed Elgendi, Maria Papaefstathiou
article en

Abstract

Abstract Capacitive pressure sensors (CPSs) are increasingly important for wearable and textile-based health monitoring due to their high sensitivity, low power consumption, and structural flexibility. Building on a structured literature review (2015–2025), we conducted a systematic analysis of 34 CPS designs across five categories—microstructuring, foams, ionic liquids/gels/metals, bioinspired architectures, and multisensing/strong bonding—using a newly developed Textile Suitability Score (TSS) that integrates nine performance and integration-relevant attributes. Trade-off analysis revealed that ionic metal-based sensors dominate in raw performance, combining very high sensitivity with broad pressure ranges, but face scalability and textile-compatibility challenges. By contrast, microstructuring offers the closest balance between sensitivity and integration, while multisensing and strong bonding form a consistent cluster with the highest TSS values. Foams and bioinspired designs ranked lower due to reproducibility and stability issues. Together, these results expose clear performance-integration trade-offs and uncover unexplored design pathways, charting a roadmap for next-generation textile-integrated health monitoring systems.

npj BiosensingVol. 2(1)
Khalifa University of Science and Technology (AE), ETH Zurich (CH)
Eidgenössische Technische Hochschule Zürich, Khalifa University of Science, Technology and Research
Openalex Percentile: Top 68%
Advanced Sensor and Energy Harvesting Materials
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