Design and Implementation of Smartphone-Based Tear Volume Measurement System

被引：0

作者：

Okazaki, Yoshiro ^{[1
]}

Takenaga, Tatsuki ^{[1
]}

Miyake, Taku ^{[1
]}

Iwabuchi, Mamoru ^{[1
]}

Okubo, Toshiyuki ^{[2
]}

Yokoi, Norihiko ^{[3
]}

机构：

[1] Univ Tokyo, RCAST, Tokyo, Japan

[2] Tachikawa Sogo Hosp, Ophthalmol, Tokyo, Japan

[3] Kyoto Prefectural Univ Med, Dept Ophthalmol, Kyoto, Japan

来源：

INTERNET OF THINGS TECHNOLOGIES FOR HEALTHCARE, HEALTHYIOT 2016 | 2016年 / 187卷

关键词：

Smartphone; Tear volume; Dry eye; IoT device;

D O I：

10.1007/978-3-319-51234-1_27

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：155 / 158

页数：4

共 50 条

[41] A Smartphone-based System for Assessing Intraocular Pressure
Mariakakis, A.
Wang, E.
Patel, S.
Wen, J. C.
[J]. 2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2016, : 4353 - 4356
[42] A Wearable Smartphone-Based System for Electrocardiogram Acquisition
Depari, A.
Flammini, A.
Sisinni, E.
Vezzoli, A.
[J]. 2014 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA), 2014, : 54 - 59
[43] Farsight: A smartphone-based vehicle ranging system
[J]. 2018, Association for Computing Machinery, 2 Penn Plaza, Suite 701, New York, NY 10121-0701, United States (02)
[44] A Smartphone-Based System for Improving Pedestrian Safety
Xia, Stephen
de Godoy, Daniel
Islam, Bashima
Islam, Md Tamzeed
Nirjon, Shahriar
Kinget, Peter R.
Jiang, Xiaofan
[J]. 2018 IEEE VEHICULAR NETWORKING CONFERENCE (VNC), 2018,
[45] Smartphone-based Human Fall Detection System
Valcourt, L.
Hoz, Y. D. L.
Labrador, M.
[J]. IEEE LATIN AMERICA TRANSACTIONS, 2016, 14 (02) : 1011 - 1017
[46] Smartphone-based System for water quality analysis
Satyam Srivastava
Saikrishna Vaddadi
Shashikant Sadistap
[J]. Applied Water Science, 2018, 8
[47] SMARTPHONE-BASED TRAFFIC NOISE MAPPING SYSTEM
Dubey, Rakesh
Bharadwaj, Shruti
Sharma, Vinamra Bhushan
Bhatt, Arpit
Biswas, Susham
[J]. XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION IV, 2022, 43-B4 : 613 - 620
[48] iTraffic: A Smartphone-based Traffic Information System
Chuang, Yi-Ta
Yi, Chih-Wei
Lu, Yin-Chih
Tsai, Pei-Chuan
[J]. 2013 42ND ANNUAL INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING (ICPP), 2013, : 917 - 922
[49] Development of Smartphone-based Student Attendance System
Islam, Md. Milon
Hasan, Md. Kamrul
Billah, Md Masum
Uddin, Md. Manik
[J]. 2017 IEEE REGION 10 HUMANITARIAN TECHNOLOGY CONFERENCE (R10-HTC), 2017, : 230 - 233
[50] A Smartphone-based Fall Detection System for the Elderly
Tsinganos, Panagiotis
Skodras, Athanassios
[J]. PROCEEDINGS OF THE 10TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS, 2017, : 53 - 58

← 1 2 3 4 5 →