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Cited by 276

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Multifunctional Skin‐Like Electronics for Quantitative, Clinical Monitoring of Cutaneous Wound Healing

Open access
Hattori, Yoshiaki, Falgout, Leo, Lee, Woosik, Jung, Sung‐Young, Poon, Emily, Lee, Jung Woo, Na, Ilyoun, Geisler, Amelia, Sadhwani, Divya, Zhang, Yihui, Su, Yewang, Wang, Xiaoqi, Liu, Zhuangjian, Xia, Jing, Cheng, Huanyu, Webb, R. Chad, Bonifas, Andrew P., Won, Philip, Jeong, Jae‐Woong, Jang, Kyung‐In, Song, Young Min, Nardone, Beatrice, Nodzenski, Michael, Fan, Jonathan A., Huang, Yonggang, West, Dennis P., Paller, Amy S., Alam, Murad, Yeo, Woon‐Hong, Rogers, John A.·2014·Advanced Healthcare Materials

Abstract

Non‐invasive, biomedical devices have the potential to provide important, quantitative data for the assessment of skin diseases and wound healing. Traditional methods either rely on qualitative visual and tactile judgments of a professional and/or data obtained using instrumentation with forms that do not readily allow intimate integration with sensitive skin near a wound site. Here, an electronic sensor platform that can softly and reversibly laminate perilesionally at wounds to provide highly accurate, quantitative data of relevance to the management of surgical wound healing is reported. Clinical studies on patients using thermal sensors and actuators in fractal layouts provide precise time‐dependent mapping of temperature and thermal conductivity of the skin near the wounds. Analytical and simulation results establish the fundamentals of the sensing modalities, the mechanics of the system, and strategies for optimized design. The use of this type of “epidermal” electronics system in a realistic clinical setting with human subjects establishes a set of practical procedures in disinfection, reuse, and protocols for quantitative measurement. The results have the potential to address important unmet needs in chronic wound management.

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Crossref · 10.1002/adhm.201400073

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Metadata

Authors
Hattori, Y., Falgout, L., Lee, W., Jung, S., Poon, E., Lee, J. W., Na, I., Geisler, A., Sadhwani, D., Zhang, Y., Su, Y., Wang, X., Liu, Z., Xia, J., Cheng, H., Webb, R. C., Bonifas, A. P., Won, P., Jeong, J., Jang, K., Song, Y. M., Nardone, B., Nodzenski, M., Fan, J. A., Huang, Y., West, D. P., Paller, A. S., Alam, M., Yeo, W., & Rogers, J. A.
Venue
Advanced Healthcare Materials
Publisher
Wiley
Published
2014-03-26
Volume
3
Issue
10
Pages
1597-1607
ISSN
  • 2192-2640 (ISSN-L)
  • 2192-2659
OpenAlex
W2057865119
Cited by
276
References
38
FWCI
10.26
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Multifunctional Skin‐Like Electronics for Quantitative, Clinical Monitoring of Cutaneous Wound Healing. https://app.cochat.ai/papers/10.1002/adhm.201400073
The paper
Hattori, Y., Falgout, L., Lee, W., Jung, S., Poon, E., Lee, J. W., Na, I., Geisler, A., Sadhwani, D., Zhang, Y., Su, Y., Wang, X., Liu, Z., Xia, J., Cheng, H., Webb, R. C., Bonifas, A. P., Won, P., Jeong, J., . . . Rogers, J. A. (2014). Multifunctional Skin‐Like Electronics for Quantitative, Clinical Monitoring of Cutaneous Wound Healing. Advanced Healthcare Materials. https://doi.org/10.1002/adhm.201400073

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.