软件名称：用于血糖快速检测的图像分析软件（Thing Identify）

版本号：V1.0.2

Last updated on 10 September, 2019

Contents 目录

Introduction 介绍

How to Use This Software 使用说明

Download of Thing Identify Software 软件下载

Developers and Contact Information 开发者与联系信息

Acknowledgement 致谢

Introduction

介绍

As one of the most common diseases, diabetes is a chronic metabolic disease characterized by hyperglycemia and accompanied by a variety of complications, such as heart, blood vessels, eyes, kidneys and nerves nervous system, and so on. The World Health Organization (WHO) reported that the number of diabetes mellitus patients has risen to 422 million by 2015, and may increase to 693 million by 2045. Thus, early detection for serum glucose has a profound impact on the field analysis and point-of-care diagnosis application. A smartphone application was designed and employed to fast detection of serum glucose in the point-of-care diagnosis for early detection of diabetes.

 糖尿病是一种以高血糖症为特征的是最常见的慢性代谢性疾病之一，并伴有多种并发症，影响心脏，血管，眼睛，肾脏和神经系统等。世界卫生组织（WHO）报告称，2015年，糖尿病患者的数量已增加到4.22亿，到2045年可能会增加到6.93亿。因此，早期检测血糖对现场分析和监测点有深远的影响。因此，我们设计了一款智能手机应用程序，将其用于即时快速检测血清葡萄糖，便于早期发现糖尿病。

How to Use This Software

使用说明

 使用说明.rar

Download of ThingIdentify Software

软件下载

ThingIdentify-20190910.rar

Developers and Contact Information

开发者与联系信息

Programmer: Zhenfeng Wang, Wei Liu, Xuedong Wang, Jinrong Tian

Address: Zhejiang Provincial Key Laboratory of Watershed Science and Health, College of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, People’s Republic of China

Tel： 86-0577-86699595  

E-mail：iwater2013@163.com  

软件开发人员：王振峰、刘伟、王学东，田金容

联系地址：浙江省温州市茶山高教园区温州医科大学浙江省流域水环境与健康风险研究重点实验室，公共卫生与管理学院，浙南水科学研究院

电话： 86-0577-86699595    

电子邮箱：iwater2013@163.com  

Acknowledgement

致谢

This work was jointly supported by National Science Foundation of China(Grant 21707105 and 21876125), Zhejiang Province Public Welfare Technology Application Research Project (Grant LGF19B070009 and LGF19B070010), and the Research and Development Fund of Wenzhou Medical University (Grant QTJ16013).

本工作得到了国家自然科学基金（Grant 21707105和21876125），浙江省基础公益研究计划项目（Grants LGF19B070009和LGF19B070010）以及温州医科大学研究与发展基金（Grant QTJ16013）的共同资助。