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Analysis of Moisture and Sebum of the Skin for Monitoring Wound Healing in Older Nursing Home Residents

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Book cover Advances in Physical, Social & Occupational Ergonomics (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1215))

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Abstract

Pressure ulcers are a common problem among older nursing home residents. Wound healing monitoring in these older residents causes intensive significant workload for nurses. Moisture and sebum of the skin are critical factors during wound healing which can observations for nurses quick and handy. The purpose of this study was to investigate the relation between moisture and sebum of the skin during wound healing in older people. The data of moisture and sebum was observed for four times in sequence biweekly from the sacrum region of eighteen subjects. Based on the wound healing status, the subjects were grouped into the wound healing, wound non-healing, and non-wound groups. The wound area was calculated by manually tracing the wound area in captured images using the Image-J. Ulcer area were median correlation with moisture (r = .61) and sebum (r = −.60) in the wound healing group. The moisture was also significantly correlated with sebum (r = .89, p < .05) in the wound non-healing group. Increasing moisture and decreasing sebum may be associated with wound healing among older nursing home residents. Our findings showed that moisture and sebum of human skin can be used to predict wound healing status.

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Acknowledgments

The authors would like to thank the Ministry of Science and Technology, Taiwan, ROC, for supporting this study under contract No. MOST-108-2221-E-468-018, MOST-108-2813-C-468-018-E, MOST-108-2221-E-241-008, and Asia University Hospital and China Medical University Hospital (ASIA-107-AUH-09).

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Authors and Affiliations

  1. Department of Digital Media Design, Asia University, Taichung, Taiwan

    Wei-Cheng Shen

  2. Rehabilitation Engineering Lab, University of Illinois at Urbana-Champaign, Champaign, IL, USA

    Yih-Kuen Jan & Chi-Wen Lung

  3. Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL, USA

    Yih-Kuen Jan

  4. Computational Science and Engineering, University of Illinois at Urbana-Champaign, Champaign, IL, USA

    Yih-Kuen Jan

  5. Department of Creative Product Design, Asia University, Taichung, Taiwan

    Chi-Wen Lung

  6. Information Systems Study Program, Department of Mathematics, Universitas Airlangga, Surabaya, Indonesia

    Aqo Anastian

  7. Department of Photonics and Communication Engineering, Asia University, Taichung, Taiwan

    Chang-Wei Hsieh

  8. Division of Plastic Surgery, Asia University Hospital, Taichung, Taiwan

    Hsu-Tang Cheng

  9. Department of Biomedical Engineering, Hungkuang University, Taichung, Taiwan

    Yin-Yin Liao & Ben-Yi Liau

Authors
  1. Wei-Cheng Shen
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  2. Yih-Kuen Jan
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  3. Chi-Wen Lung
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  4. Aqo Anastian
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  5. Chang-Wei Hsieh
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  6. Hsu-Tang Cheng
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  7. Yin-Yin Liao
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  8. Ben-Yi Liau
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Corresponding author

Correspondence to Ben-Yi Liau .

Editor information

Editors and Affiliations

  1. Industrial Engineering and Management System, University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  2. Department IELM, Hong Kong University of Science and Technology, Kowloon, Hong Kong

    Ravindra S. Goonetilleke

  3. Korea Advanced Institute of Science and Technology, Daejeon, Korea (Republic of)

    Shuping Xiong

  4. Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Zuid-Holland, The Netherlands

    Richard H. M. Goossens

  5. Okayama University, Okayama, Japan

    Atsuo Murata

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© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

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Shen, WC. et al. (2020). Analysis of Moisture and Sebum of the Skin for Monitoring Wound Healing in Older Nursing Home Residents. In: Karwowski, W., Goonetilleke, R., Xiong, S., Goossens, R., Murata, A. (eds) Advances in Physical, Social & Occupational Ergonomics. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1215. Springer, Cham. https://doi.org/10.1007/978-3-030-51549-2_23

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  • DOI: https://doi.org/10.1007/978-3-030-51549-2_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51548-5

  • Online ISBN: 978-3-030-51549-2

  • eBook Packages: EngineeringEngineering (R0)

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