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

Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9677)

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.

Keywords

Anorectal E-Health Chronic management Smart home Living routine Cost-effective 
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Notes

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.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of Computer Science and TechnologyHUSTWuhanChina
  2. 2.Information Center of Mayinglong Pharmaceutical Group Co., Ltd.WuhanChina
  3. 3.Wuhan National Laboratory for OptoelectronicsWuhanChina
  4. 4.School of EconomicsHUSTWuhanChina
  5. 5.School of Software EngineeringHUSTWuhanChina

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