TY - JOUR
T1 - A non-invasive photonics-based device for monitoring of diabetic foot ulcers: Architectural/sensorial components & technical specifications
AU - Doulamis, Anastasios
AU - Doulamis, Nikolaos
AU - Angeli, Aikaterini
AU - Lazaris, Andreas
AU - Luthman, Siri
AU - Jayapala, Murali
AU - Silbernagel, G. nther
AU - Napp, Adriane
AU - Lazarou, Ioannis
AU - Karalis, Alexandros
AU - Hoveling, Richelle
AU - Terzopoulos, Panagiotis
AU - Yamas, Athanasios
AU - Georgiadis, Panagiotis
AU - Maulini, Richard
AU - Muller, Antoine
N1 - Funding Information: These innovations are exploited in the proposed Photonic-based platform which is described in this paper of detecting and analysing Diabetic Foot Ulcers (DFUs). Our system has as an ultimate goal to develop a photonic-based device towards a non-invasive monitoring and management of DFUs either by the patients in their homes or at a medical office. Thus, two editions of our innovative product will be launched: (A) In-Home Edition (called HOME), designed to be used for the patients at their homes and (B) the professional Edition (called PRO) designed to be used by physicians at their offices or at hospitals. This research is supported by the PHOOTONICS European Union funded project [13] (The name of this project is in fact a spelling and pronunciation anagramming of the words Photonics and Foot (Phoot)). The project integrates the latest advances in bio-photonics, multi-band hyperspectral imaging and diabetic research in order to design and develop this device which is of (i) low cost, (ii) non-invasive, (iii) non-ionizing and (iv) mobile, enabling screening and imaging foot tissue properties related to diabetes. Funding Information: Funding: This paper is supported by the H2020 Phootonics project “A Cost-Effective Photonics-based Device for Early Prediction, Monitoring and Management of Diabetic Foot Ulcers” funded under the ICT H2020 framework and the grand agreement no. 871908. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/6/1
Y1 - 2021/6/1
N2 - 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.
AB - 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.
KW - Diabetes
KW - Diabetes foot ulcers
KW - Hyperspectral imaging
KW - Non-invasive device
KW - Photonics
KW - Thermal imaging
UR - http://www.scopus.com/inward/record.url?scp=85104991428&partnerID=8YFLogxK
U2 - https://doi.org/10.3390/inventions6020027
DO - https://doi.org/10.3390/inventions6020027
M3 - Article
SN - 2411-5134
VL - 6
JO - Inventions
JF - Inventions
IS - 2
M1 - 27
ER -