A Non-Invasive Photonics-Based Device for Monitoring of Diabetic Foot Ulcers: Architectural/Sensorial Components & Technical Specifications

糖尿病足 糖尿病足溃疡 光子学 医学 计算机科学 可追溯性 糖尿病 人工智能 生物医学工程 重症监护医学 材料科学 光电子学 软件工程 内分泌学
作者
Anastasios Doulamis,Nikolaos Doulamis,Aikaterini Angeli,Andreas Lazaris,Siri Luthman,Murali Jayapala,Günther Silbernagel,Adriane E. Napp,I. Lazarou,Alexandros Karalis,Richelle J. M. Hoveling,P.J. Terzopoulos,Athanasios Yamas,Panagiotis Georgiadis,Richard Maulini,Antoine Müller
出处
期刊:Inventions [Multidisciplinary Digital Publishing Institute]
卷期号:6 (2): 27-27 被引量:16
标识
DOI:10.3390/inventions6020027
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
摔碎玻璃瓶完成签到,获得积分10
2秒前
6666发布了新的文献求助10
3秒前
a378514670发布了新的文献求助10
4秒前
11111发布了新的文献求助10
5秒前
5秒前
不想起昵称完成签到 ,获得积分10
5秒前
6秒前
jerry发布了新的文献求助10
6秒前
科研通AI5应助tingting372采纳,获得10
7秒前
zhengxy2002完成签到 ,获得积分10
7秒前
YY发布了新的文献求助10
9秒前
小小咸鱼发布了新的文献求助10
9秒前
雪山飞龙发布了新的文献求助10
10秒前
budingman发布了新的文献求助20
10秒前
11秒前
xyx发布了新的文献求助10
13秒前
乐乐应助6666采纳,获得10
15秒前
思源应助研友_8DAv0L采纳,获得10
16秒前
顺利的觅云完成签到,获得积分10
16秒前
16秒前
11111完成签到,获得积分20
17秒前
tingting372给tingting372的求助进行了留言
19秒前
19秒前
yx_cheng应助ygx采纳,获得10
21秒前
晨青发布了新的文献求助10
21秒前
jerry完成签到,获得积分10
22秒前
研友_8DAv0L完成签到,获得积分20
22秒前
李雨珍应助雪山飞龙采纳,获得10
23秒前
zhengxy2002关注了科研通微信公众号
23秒前
27秒前
善学以致用应助圆你心安采纳,获得10
27秒前
黄黄完成签到,获得积分0
28秒前
瑩1223完成签到 ,获得积分20
30秒前
晨青完成签到,获得积分10
32秒前
34秒前
谈笑间完成签到,获得积分10
35秒前
cc完成签到,获得积分20
37秒前
一轮太阳和幻想完成签到,获得积分10
37秒前
犹豫的夏旋完成签到 ,获得积分10
39秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Immigrant Incorporation in East Asian Democracies 600
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3967409
求助须知:如何正确求助?哪些是违规求助? 3512686
关于积分的说明 11164710
捐赠科研通 3247680
什么是DOI,文献DOI怎么找? 1793964
邀请新用户注册赠送积分活动 874785
科研通“疑难数据库(出版商)”最低求助积分说明 804498