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An Adaptive Sensor Data Segments Selection Method for Wearable Health Care Services

  • Systems-Level Quality Improvement
  • Published:
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Abstract

As cloud computing and wearable devices technologies mature, relevant services have grown more and more popular in recent years. The healthcare field is one of the popular services for this technology that adopts wearable devices to sense signals of negative physiological events, and to notify users. The development and implementation of long-term healthcare monitoring that can prevent or quickly respond to the occurrence of disease and accidents present an interesting challenge for computing power and energy limits. This study proposed an adaptive sensor data segments selection method for wearable health care services, and considered the sensing frequency of the various signals from human body, as well as the data transmission among the devices. The healthcare service regulates the sensing frequency of devices by considering the overall cloud computing environment and the sensing variations of wearable health care services. The experimental results show that the proposed service can effectively transmit the sensing data and prolong the overall lifetime of health care services.

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Acknowledgments

The authors would like to thank the National Science Council of the Republic of China, Taiwan for supporting this research under Contract NSC 101-2628-E-194-003-MY3, 101-2221-E-197-008-MY3 and 102-2219-E-194-002. This study is also conducted under the Institute for Information Industry which is subsidized by the Ministry of Economy Affairs of the Republic of China.

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Authors and Affiliations

  1. Department of Engineering Science, National Cheng Kung University, Tainan, 701, Taiwan, Republic of China

    Shih-Yeh Chen & Ming-Shi Wang

  2. School of Computer & Software, 210044, Nanjing, China

    Chin-Feng Lai

  3. Department of Computer Science and Information Engineering, National Chung Cheng University, Chiayi, 621, Taiwan, Republic of China

    Chin-Feng Lai & Ren-Hung Hwang

  4. Smart Network System Institute, Institute for Information Industry, Taipei, 105, Taiwan, Republic of China

    Ying-Hsun Lai

Authors
  1. Shih-Yeh Chen
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  2. Chin-Feng Lai
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  4. Ying-Hsun Lai
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  5. Ming-Shi Wang
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Correspondence to Chin-Feng Lai.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Chen, SY., Lai, CF., Hwang, RH. et al. An Adaptive Sensor Data Segments Selection Method for Wearable Health Care Services. J Med Syst 39, 194 (2015). https://doi.org/10.1007/s10916-015-0343-y

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  • DOI: https://doi.org/10.1007/s10916-015-0343-y

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