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Modeling the In-home Lifestyle of Chronic Anorectal Patients via a Sensing Home

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Inclusive Smart Cities and Digital Health (ICOST 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9677))

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Abstract

The prevalence rate of anorectal disease is relatively high in China. Life style is one of the most important correlation factors with chronic anorectal disease. However, clinical diagnosis is insufficient to collect the data from patients’ homes because the whole set of previous facilities is too expensive for patients to afford. In this paper, we propose a feasible wireless-based solution to deploy a cost-effective data collection scheme. We compare and analyze the living data sampled from volunteers during 28 days. Furthermore, an understandable behavior routine model presented as heat-map can be provided to clinicians. With this auxiliary data, professional guidance on living habits might be greatly beneficial for augmenting the life quality of patients suffering from chronic diseases.

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Acknowledgments

This work is supported in part by East Lake National Innovation Foundation under grants number 2013-dhfwy-012, by 2015 R&D support foundation of Shenzhen Virtual University Park: Shenzhen branch of DSSL, project of research and platform construction, and in part by Independent innovation research foundation of HUST.

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, HUST, 1037 Luoyu Road, Wuhan, China

    Xiaohu Fan & Jing Zeng

  2. Information Center of Mayinglong Pharmaceutical Group Co., Ltd., 8 Nanyuansi Road, Wuhan, China

    Xiaohu Fan & Li Wang

  3. Wuhan National Laboratory for Optoelectronics, 1037 Luoyu Road, Wuhan, China

    Changsheng Xie

  4. School of Economics, HUST, 1037 Luoyu Road, Wuhan, China

    Jing Cao

  5. School of Software Engineering, HUST, 1037 Luoyu Road, Wuhan, China

    Hao Huang

Authors
  1. Xiaohu Fan
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  2. Li Wang
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  3. Changsheng Xie
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  4. Jing Cao
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  5. Jing Zeng
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  6. Hao Huang
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Corresponding authors

Correspondence to Xiaohu Fan or Hao Huang .

Editor information

Editors and Affiliations

  1. Iowa State University, Ames, Iowa, USA

    Carl K. Chang

  2. University of Bologna, Bologna, Italy

    Lorenzo Chiari

  3. The University of Massachusetts, Lowell, Massachusetts, USA

    Yu Cao

  4. Huazhong Univ. of Science and Technology, Wuhan, China

    Hai Jin

  5. Institut Mines Télécom Paris/CNRS, Paris, France

    Mounir Mokhtari

  6. Institut Mines Télécom, Paris, France

    Hamdi Aloulou

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© 2016 Springer International Publishing Switzerland

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Fan, X., Wang, L., Xie, C., Cao, J., Zeng, J., Huang, H. (2016). Modeling the In-home Lifestyle of Chronic Anorectal Patients via a Sensing Home. In: Chang, C., Chiari, L., Cao, Y., Jin, H., Mokhtari, M., Aloulou, H. (eds) Inclusive Smart Cities and Digital Health. ICOST 2016. Lecture Notes in Computer Science(), vol 9677. Springer, Cham. https://doi.org/10.1007/978-3-319-39601-9_17

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  • DOI: https://doi.org/10.1007/978-3-319-39601-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39600-2

  • Online ISBN: 978-3-319-39601-9

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