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首页> 外文期刊>Inventions >A Non-Invasive Photonics-Based Device for Monitoring of Diabetic Foot Ulcers: Architectural/Sensorial Components & Technical Specifications
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A Non-Invasive Photonics-Based Device for Monitoring of Diabetic Foot Ulcers: Architectural/Sensorial Components & Technical Specifications

机译：一种用于监测糖尿病足溃疡的非侵入式光子仪：建筑/传感器组件＆amp; 技术规格

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This paper proposes a new photonic-based non-invasive device for managing of Diabetic Foot Ulcers (DFUs) for people suffering from diabetes. DFUs are one of the main severe complications of diabetes, which may lead to major disabilities, such as foot amputation, or even to the death. The proposed device exploits hyperspectral (HSI) and thermal imaging to measure the status of an ulcer, in contrast to the current practice where invasive biopsies are often applied. In particular, these two photonic-based imaging techniques can estimate the biomarkers of oxyhaemoglobin (HbO2) and deoxyhaemoglobin (Hb), through which the Peripheral Oxygen Saturation (SpO2) and Tissue Oxygen Saturation (StO2) is computed. These factors are very important for the early prediction and prognosis of a DFU. The device is implemented at two editions: the in-home edition suitable for patients and the PRO (professional) edition for the medical staff. The latter is equipped with active photonic tools, such as tuneable diodes, to permit detailed diagnosis and treatment of an ulcer and its progress. The device is enriched with embedding signal processing tools for noise removal and enhancing pixel accuracy using super resolution schemes. In addition, a machine learning framework is adopted, through deep learning structures, to assist the doctors and the patients in understanding the effect of the biomarkers on DFU. The device is to be validated at large scales at three European hospitals (Charité–University Hospital in Berlin, Germany; Attikon in Athens, Greece, and Victor Babes in Timisoara, Romania) for its efficiency and performance.
机译：本文提出了一种新的基于光子的非侵入性装置，用于管理患有糖尿病的人的糖尿病足溃疡（DFU）。 DFU是糖尿病的主要严重并发症之一，这可能导致大量残疾，如脚截肢，甚至死亡。所提出的装置利用高光谱（HSI）和热成像来测量溃疡的状态，与通常应用侵入性活组织检查的当前实践相比。特别地，这两种基于光子的成像技术可以估计氧气血红蛋白（HBO2）和脱氧血红蛋白（HB）的生物标志物，通过该氧氧饱和度（SPO2）和组织氧饱和度（STO2）。这些因素对于DFU的早期预测和预后来说非常重要。该设备在两个版本中实现：适用于患者和专业版（专业）版本的家庭版。后者配备有活性光子工具，例如可调性二极管，以允许详细诊断和治疗溃疡及其进度。该设备丰富了嵌入信号处理工具，用于使用超分辨率提高像素精度。此外，通过深度学习结构采用机器学习框架，以帮助医生和患者了解生物标志物对DFU的影响。该设备将在三个欧洲医院的大规模验证（德国柏林的Charité-University医院;在雅典，希腊和Timisoara，罗马尼亚的Victor Babes的Attikon）的效率和性能。

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