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

Inventions ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 27
Author(s):  
Anastasios Doulamis ◽  
Nikolaos Doulamis ◽  
Aikaterini Angeli ◽  
Andreas Lazaris ◽  
Siri Luthman ◽  
...  
Keyword(s):  
Oxygen Saturation ◽  
Diabetic Foot ◽  
Imaging Techniques ◽  
Noise Removal ◽  
University Hospital ◽  
Foot Ulcers ◽  
Tissue Oxygen Saturation ◽  
Diabetic Foot Ulcers ◽  
Non Invasive ◽  
Technical Specifications

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.

scholarly journals Investigation of the Performance of Hyperspectral Imaging by Principal Component Analysis in the Prediction of Healing of Diabetic Foot Ulcers

2018 ◽  
Vol 4 (12) ◽  
pp. 144 ◽  
Author(s):  
Qian Yang ◽  
Shen Sun ◽  
William Jeffcoate ◽  
Daniel Clark ◽  
Alison Musgove ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Oxygen Saturation ◽  
Hyperspectral Imaging ◽  
Ulcer Healing ◽  
Diabetic Foot ◽  
Principal Component ◽  
Component Analysis ◽  
Foot Ulcers ◽  
Diabetic Foot Ulcers ◽  
Care Providers

Diabetic foot ulcers are a major complication of diabetes and present a considerable burden for both patients and health care providers. As healing often takes many months, a method of determining which ulcers would be most likely to heal would be of great value in identifying patients who require further intervention at an early stage. Hyperspectral imaging (HSI) is a tool that has the potential to meet this clinical need. Due to the different absorption spectra of oxy- and deoxyhemoglobin, in biomedical HSI the majority of research has utilized reflectance spectra to estimate oxygen saturation (SpO2) values from peripheral tissue. In an earlier study, HSI of 43 patients with diabetic foot ulcers at the time of presentation revealed that ulcer healing by 12 weeks could be predicted by the assessment of SpO2 calculated from these images. Principal component analysis (PCA) is an alternative approach to analyzing HSI data. Although frequently applied in other fields, mapping of SpO2 is more common in biomedical HSI. It is therefore valuable to compare the performance of PCA with SpO2 measurement in the prediction of wound healing. Data from the same study group have now been used to examine the relationship between ulcer healing by 12 weeks when the results of the original HSI are analyzed using PCA. At the optimum thresholds, the sensitivity of prediction of healing by 12 weeks using PCA (87.5%) was greater than that of SpO2 (50.0%), with both approaches showing equal specificity (88.2%). The positive predictive value of PCA and oxygen saturation analysis was 0.91 and 0.86, respectively, and a comparison by receiver operating characteristic curve analysis revealed an area under the curve of 0.88 for PCA compared with 0.66 using SpO2 analysis. It is concluded that HSI may be a better predictor of healing when analyzed by PCA than by SpO2.

scholarly journals The Association between Foot and Ulcer Microcirculation Measured with Laser Speckle Contrast Imaging and Healing of Diabetic Foot Ulcers

2021 ◽  
Vol 10 (17) ◽  
pp. 3844
Author(s):  
Onno A. Mennes ◽  
Jaap J. van Netten ◽  
Jeff G. van Baal ◽  
Riemer H. J. A. Slart ◽  
Wiendelt Steenbergen
Keyword(s):  
Blood Pressure ◽  
Diabetic Foot ◽  
Blood Pressure Measurement ◽  
Foot Ulcer ◽  
Laser Speckle ◽  
Foot Ulcers ◽  
Pressure Measurements ◽  
Diabetic Foot Ulcers ◽  
Invasive Blood Pressure ◽  
Non Invasive

Diagnosis of peripheral artery disease in people with diabetes and a foot ulcer using current non-invasive blood pressure measurements is challenging. Laser speckle contrast imaging (LSCI) is a promising non-invasive technique to measure cutaneous microcirculation. This study investigated the association between microcirculation (measured with both LSCI and non-invasive blood pressure measurement) and healing of diabetic foot ulcers 12 and 26 weeks after measurement. We included sixty-one patients with a diabetic foot ulcer in this prospective, single-center, observational cohort-study. LSCI scans of the foot, ulcer, and ulcer edge were conducted, during baseline and post-occlusion hyperemia. Non-invasive blood pressure measurement included arm, foot, and toe pressures and associated indices. Healing was defined as complete re-epithelialization and scored at 12 and 26 weeks. We found no significant difference between patients with healed or non-healed foot ulcers for both types of measurements (p = 0.135–0.989). ROC curves demonstrated moderate sensitivity (range of 0.636–0.971) and specificity (range of 0.464–0.889), for LSCI and non-invasive blood pressure measurements. Therefore, no association between diabetic foot ulcer healing and LSCI-measured microcirculation or non-invasive blood pressure measurements was found. The healing tendency of diabetic foot ulcers is difficult to predict based on single measurements using current blood pressure measurements or LSCI.

scholarly journals Electromagnetic simulation of non-invasive approach for the diagnosis of diabetic foot ulcers

2018 ◽  
Vol 15 (2) ◽  
pp. 514-521 ◽  
Author(s):  
Roshen Borkar ◽  
James Rizkalla ◽  
Youngmin Kwon ◽  
Paul Salama ◽  
Maher Rizkalla
Keyword(s):  
Diabetic Foot ◽  
Foot Ulcers ◽  
Electromagnetic Simulation ◽  
Diabetic Foot Ulcers ◽  
Invasive Approach ◽  
Non Invasive
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