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Cited by 289

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Bioinspired Composite Microfibers for Skin Adhesion and Signal Amplification of Wearable Sensors

Drotlef, Dirk‐M., Amjadi, Morteza, Yunusa, Muhammad, Sitti, Metin·2017·Advanced Materials

Abstract

A facile approach is proposed for superior conformation and adhesion of wearable sensors to dry and wet skin. Bioinspired skin‐adhesive films are composed of elastomeric microfibers decorated with conformal and mushroom‐shaped vinylsiloxane tips. Strong skin adhesion is achieved by crosslinking the viscous vinylsiloxane tips directly on the skin surface. Furthermore, composite microfibrillar adhesive films possess a high adhesion strength of 18 kPa due to the excellent shape adaptation of the vinylsiloxane tips to the multiscale roughness of the skin. As a utility of the skin‐adhesive films in wearable‐device applications, they are integrated with wearable strain sensors for respiratory and heart‐rate monitoring. The signal‐to‐noise ratio of the strain sensor is significantly improved to 59.7 because of the considerable signal amplification of microfibrillar skin‐adhesive films.

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Crossref · 10.1002/adma.201701353

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Metadata

Authors
Drotlef, D., Amjadi, M., Yunusa, M., & Sitti, M.
Venue
Advanced Materials
Publisher
Wiley
Published
2017-05-19
Volume
29
Issue
28
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2616368251
Cited by
289
References
11
FWCI
12.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Bioinspired Composite Microfibers for Skin Adhesion and Signal Amplification of Wearable Sensors. https://app.cochat.ai/papers/10.1002/adma.201701353
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Drotlef, D., Amjadi, M., Yunusa, M., & Sitti, M. (2017). Bioinspired Composite Microfibers for Skin Adhesion and Signal Amplification of Wearable Sensors. Advanced Materials. https://doi.org/10.1002/adma.201701353

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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