老年性黄斑变性(AMD)大数据:硬件和软件设计与实现

2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2017-04-01 DOI:10.1109/CCECE.2017.7946660

N. Mohaghegh, E. Ghafar-Zadeh, Samal Munidasa, S. Magierowski

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引用次数: 3

摘要

本文提出了一种用于未来制药应用的新型年龄相关性黄斑变性(AMD)大数据平台。该平台是一个从大量AMD患者中收集AMD数据的网络，用于数据分析目的。每个网络节点都连接到一个带有图形界面系统的头显，用于测量AMD的进展。在此，我们讨论了建议的硬件和软件，并展示了大数据应用的结果。基于这些结果，所提出的平台为AMD的早期检测以及利用所获得的大数据对正在开发的AMD相关药物进行未来优化提供了独特而有希望的优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Toward Age-related Macular Degeneration (AMD) Big Data: Hardware and software design and implementation

This paper presents a novel Age-related Macular Degeneration (AMD) Big Data platform for future pharmaceutical applications. This platform is a network collecting AMD data from a large number of AMD patients in a central unit for data analytical purposes. Each network node is connected to a headset with graphical interface system for measuring the progression of AMD. Herein we discuss the proposed hardware and software and demonstrate the results for Big Data applications. Based on these results, the proposed platform offers unique and promising advantages for early detection of AMD and for future optimization of in-development AMD related drugs using the obtained Big Data.

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2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)

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