A New Method and a Non-Invasive Device to Estimate Anemia Based on Digital Images of the conjunctiva
A New Method and a Non-Invasive Device to Estimate Anemia Based on Digital Images of the conjunctiva
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DOI：
10.1109/access.2018.2867110
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发表时间：
2018-01-01
期刊：
影响因子：
3.9
通讯作者：
Girardi, Francesco
中科院分区：
文献类型：
--
作者：
Dimauro, Giovanni;Caivano, Danilo;Girardi, Francesco
用于确定血红蛋白（Hb）浓度的医疗实践（这对于需要输血的贫血患者很重要）需要血液样本。在本文中，我们提出了一种非侵入性的方法来估计血红蛋白的图像分析的基础上，一个特定的结膜区域。我们的目标是开发一种不昂贵且易于使用的设备来评估贫血状况;该设备可以由医生使用以决定是否采集血液样本，甚至可以由在家的患者决定是否通知医生;这样，我们可以避免患者频繁地去实验室采集血液样本。该设备还允许我们在大量人群中快速筛查贫血症，例如，月经开始的女孩群体。在这里，我们详细介绍了我们的设备原型以及从所获取图像的颜色值中提取关键信息的方法。对113名贫血和健康人进行的测试显示，通过血液采样获得的真实的Hb值与我们的设备估计的值之间存在很强的相关性。用于评估（非）贫血状况的k-最近邻分类算法产生了良好的结果，并帮助医生避免了大量的血液测试。
Medical practice for determining haemoglobin (Hb) concentration, which is important for anemic patients in need of blood transfusion, requires a blood sample. In this paper, we propose a non-invasive approach to Hb estimation based on the image analysis of a specific conjunctival region. Our goal is to develop a device that is not expensive and simple to use for assessing the anemic condition; this device could be used by the physician to decide whether to take a blood sample or even by a patient at home to decide whether to inform a physician; in this way, we can avoid having the patient go frequently to the laboratory to take a blood sample. This device also allows us to rapidly screen for Anemia in a large number of persons, for example, groups of girls who are at the beginning of the menses. Here, we detail the prototype of our device and the methodology for extracting key information from the color values of the acquired image. Tests conducted on 113 anemic and healthy persons show a strong correlation between the real Hb value obtained through blood sampling and the value estimated by our device. A k-nearest neighbor classification algorithm for assessing the (non)anemic condition yielded good results and helps doctors avoid a significant number of blood tests.