The Implementation of Ocular Health Service System Using Android Platform

Authors

  • Woongsik Kim Dept. Medical IT Engineering, Konyang University, #158, Daejeon, South Korea

DOI:

https://doi.org/10.13052/jicts2245-800X.1034

Keywords:

Ocular Health, u-Healthcare, Measurement System, Service System, Android Platform

Abstract

As the life expectancy of human increases, having a long and healthy life, Well-Aging, Wellness, and Anti-Aging become more important. There is a paradigm shift from diagnosis and treatment in the healthcare field to prognosis and prevention in daily life. The human part with the most capillary blood vessels is the inside of human eyes or the fundus oculi. These capillary blood vessels show characteristic changes prior to chronic diseases such as diabetes or hypertension. In this study, a system is being developed to regularly collect data from the user, convert them into a database, and analyze to inform and warn any characteristic changes to users as they occur, such that users can proactively take care of their own eyes.

Downloads

Download data is not yet available.

Author Biography

Woongsik Kim, Dept. Medical IT Engineering, Konyang University, #158, Daejeon, South Korea

Woongsik Kim was team Leader of Korea Information and Communications, Development; Director of CECROP Electronic Communication Business Division; Senior Researcher of Korea Software Promotion Agency and Professor, Department of Medical Artificial Intelligence, Konyang University.

References

World Health Organization. 2003. Up to 45 million blind people globally – and growing. https://www.who.int/news/item/09-10-2003-up-to-45-million-blind-people-globally---and-growing

Caroline Schmidt-Lucke, Reduced number of circulating endothelial progenitor cells predicts future cardiovascular events: proof of concept for the clinical importance of endogenous vascular repair (2005).

Tailoi Chan-Ling, Desmin ensheathment ratio as an indicator of vessel stability: evidence in normal development and in retinopathy of prematurity (2004).

J. J. Kim, Role of FOXO1A in the regulation of insulin-like growth factor-binding protein-1 in human endometrial cells: interaction with progesterone receptor (2005).

Mirela Anghelina, Monocytes/macrophages cooperate with progenitor cells during neovascularization and tissue repair: conversion of cell columns into fibrovascular bundles (2006).

Lori Jerome, Recombinant human insulin-like growth factor binding protein 3 inhibits growth of human epidermal growth factor receptor-2-overexpressing breast tumors and potentiates herceptin activity in vivo (2006).

Budenz Donald L., Blindness and Visual Impairment in an Urban West African Population: The Tema Eye Survey (2012).

Elisa Spano, Low-Power Wearable ECG Monitoring System for Multiple-Patient Remote Monitoring (2016).

Kligfield Paul, Recommendations for the Standardization and Interpretation of the Electrocardiogram (2007).

Nitish V. Thakor, Ground-Free ECG Recording with Two Electrodes (1980).

Joshi Sanjay, Low-power low-noise analog signal conditioning chip with on-chip drivers for healthcare applications (2012).

Jap Budi Thomas, Comparing combinations of EEG activity in train drivers during monotonous driving (2010).

R. Raman, Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy (2019).

Jung, Y.H., CNN based Diabetic Retinopathy Feature Extraction and Grade Classification (2019).

Cho, H.S., Deep learning model for glaucoma diagnosis and its stages classification based on fundus images (2019).

Downloads

Published

2022-08-10

Issue

Section

Intelligent Systems for Smart Applications