Internet of Things Technologies for HealthCare. Third International Conference, HealthyIoT 2016, Västerås, Sweden, October 18-19, 2016, Revised Selected Papers

Research Article

Design and Implementation of Smartphone-Based Tear Volume Measurement System

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  • @INPROCEEDINGS{10.1007/978-3-319-51234-1_27,
        author={Yoshiro Okazaki and Tatsuki Takenaga and Taku Miyake and Mamoru Iwabuchi and Toshiyuki Okubo and Norihiko Yokoi},
        title={Design and Implementation of Smartphone-Based Tear Volume Measurement System},
        proceedings={Internet of Things Technologies for HealthCare. Third International Conference, HealthyIoT 2016, V\aa{}ster\ae{}s, Sweden, October 18-19, 2016, Revised Selected Papers},
        proceedings_a={HEALTHYIOT},
        year={2017},
        month={1},
        keywords={Smartphone Tear volume Dry eye IoT device},
        doi={10.1007/978-3-319-51234-1_27}
    }
    
  • Yoshiro Okazaki
    Tatsuki Takenaga
    Taku Miyake
    Mamoru Iwabuchi
    Toshiyuki Okubo
    Norihiko Yokoi
    Year: 2017
    Design and Implementation of Smartphone-Based Tear Volume Measurement System
    HEALTHYIOT
    Springer
    DOI: 10.1007/978-3-319-51234-1_27
Yoshiro Okazaki1,*, Tatsuki Takenaga1, Taku Miyake1, Mamoru Iwabuchi1, Toshiyuki Okubo2, Norihiko Yokoi3
  • 1: The University of Tokyo
  • 2: Tachikawa Sogo Hospital
  • 3: Kyoto Prefectural University of Medicine
*Contact email: okazaki@bfp.rcast.u-tokyo.ac.jp

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.