基于智能终端的眼底成像方法
Ophthalmic Imaging Method Based on Intelligent Terminal
DOI: 10.12677/CSA.2018.88134, PDF,   
作者: 李洪涛, 李涓华*, 何阳子, 刘子妤, 方郅昊:东北大学中荷生物医学与信息工程学院,辽宁 沈阳
关键词: 视网膜成像智能手机物联网Retina Fundus Imaging Smart-Phone Internet of Things
摘要: 近年来,随着全球老龄化问题日趋严重,医疗市场得到了快速发展,尤其是借助移动通信技术完成疾病的诊断及预防已成为医疗发展的新趋势。视网膜是临床上最重要的观察目标之一。通过观察视网膜的变化,可以实现视网膜疾病甚至心脑血管疾病的诊断。然而,临床上使用的眼底成像系统通常结构复杂、体积庞大、便携性差且成本较高。因此,本文提出一种基于智能终端的眼底成像方法,使其与临床使用的眼底成像方法相比,具有更好的便携性及更低的成本。该系统基于移动通信设备与云端服务系统,通过网络通信技术完成个人移动端与云端数据的传输,以保证本系统同时具有便携性以及良好的疾病分析性能。其准确性和可靠性得到了充分的验证。该系统在一定程度上,缓解了对于广大普通患者,眼底检查费时费力,且价格昂贵,难以推广的问题,提出并实现了一种具有前景的便携性新兴医疗解决方案,可为每个个人用户提供完整的医疗保健。
Abstract: In recent years, as the problem of global aging has become increasingly serious, the medical market has developed rapidly. The application of mobile communication technologies on diagnosis and prevention of diseases has become a new trend in medical development. The retina is one of the most important clinical observation targets. By identifying the changes in the retina, the diagnosis of retinal diseases and even cardiovascular and cerebrovascular diseases can be achieved. However, the fundus imaging systems used in clinics are generally complicated in structure, bulky, poor in portability, and relatively expensive. Therefore, the fundus imaging method based on the intelligent terminal is proposed in this study, which shows better portability and much lower cost compared with the traditional fundus imaging systems used clinically. The system combines a network of communications, information processing and family doctors to achieve a promising emerging medical solution that provides each individual user with complete healthcare. Its accuracy and reliability have been fully verified. To some extent, the system has alleviated the time-consuming, laborious, expensive and difficult problem of fundus examination for the majority of ordinary patients, proposed and realized a promising new portable medical solution, which can provide complete medical care for each individual user.
文章引用:李洪涛, 李涓华, 何阳子, 刘子妤, 方郅昊. 基于智能终端的眼底成像方法[J]. 计算机科学与应用, 2018, 8(8): 1224-1238. https://doi.org/10.12677/CSA.2018.88134

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