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Design and Implementation of Smartphone-Based Tear Volume Measurement System

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Internet of Things Technologies for HealthCare (HealthyIoT 2016)

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Abstract

Evaluation of tear volume is important for diagnosing dry eye disease. At the clinical site, dedicated devices such as Slit-lamp Microscopy or Meniscometer have been used to quantify tear volume by ophthalmologist. However, these devices have access only in medical office and therefore have limited availability for the public. Tear volume changes with environmental, physical or psychological situation. For that reason, measurement of tear volume regardless of location, time or circumstances can be beneficial not only for healthcare professionals but also for patients. If tear volume could be measured by using smartphone, it is expected that the smartphone could be utilized as an IoT sensor for the healthcare application. In this study, tear volume measurement system was designed and implemented on smartphone. Further application for smartphone as an IoT device will be discussed.

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Authors and Affiliations

  1. RCAST, The University of Tokyo, Tokyo, Japan

    Yoshiro Okazaki, Tatsuki Takenaga, Taku Miyake & Mamoru Iwabuchi

  2. Ophthalmology, Tachikawa Sogo Hospital, Tokyo, Japan

    Toshiyuki Okubo

  3. Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan

    Norihiko Yokoi

Authors
  1. Yoshiro Okazaki
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  2. Tatsuki Takenaga
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  3. Taku Miyake
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  4. Mamoru Iwabuchi
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  5. Toshiyuki Okubo
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  6. Norihiko Yokoi
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Corresponding author

Correspondence to Yoshiro Okazaki .

Editor information

Editors and Affiliations

  1. School Innovation, Design, Engineering, Märlardalen University, Västerås, Sweden

    Mobyen Uddin Ahmed

  2. Mälardalen University , Västerås, Sweden

    Shahina Begum

  3. Computer Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

    Wasim Raad

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Okazaki, Y., Takenaga, T., Miyake, T., Iwabuchi, M., Okubo, T., Yokoi, N. (2016). Design and Implementation of Smartphone-Based Tear Volume Measurement System. In: Ahmed, M., Begum, S., Raad, W. (eds) Internet of Things Technologies for HealthCare. HealthyIoT 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 187. Springer, Cham. https://doi.org/10.1007/978-3-319-51234-1_27

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  • DOI: https://doi.org/10.1007/978-3-319-51234-1_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51233-4

  • Online ISBN: 978-3-319-51234-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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