Project description
Non-invasive method to check for diabetic foot ulcers
Approximately 15 % of patients with diabetes develop an open sore or wound that is commonly located on the bottom of the foot. Of those who develop a foot ulcer, 6 % will be hospitalised. Amputation is the most feared consequence of a foot ulcer. To reverse this trend and to help prevent diabetic foot ulcers, the EU-funded PHOOTONICS project will develop a non-invasive, reliable and cost-effective photonics driven device. At home, this non-invasive device will be used to monitor foot temperature for the prevention and early detection of diabetic foot ulcers. The aim is to replace current approaches like skin lesion biopsy, which are invasive and require a visit to the doctor.
Objective
Early prediction and management of Diabetic Foot Ulcers (DFUs) is an important health factor of Europe. Recent clinical trials have concluded that NIR sensing captures oxy(deoxy)haemoglobin (HbO2, Hb) and peripheral/ tissue oxygen saturations (StO2, SpO2), thermal Infrared-IR detects hyperthermia, among Regions of Interest (ROIs) and Mid-IR contains rich information about the proteomics, lipidomics and metabolomics (e.g. glucose). All these medical indices are important factors for early prediction of DFU.
Current medical approaches are i) invasive (e.g. skin lesion biopsy), ii) requires consumables, and iii) being operated by certified physicians (e.g. ultrasound and/or biopsy).
PHOOTONICS aims at developing a non-invasive, reliable and cost-effective photonics-driven device for DFU monitoring and management which can be applied for wide use. The project supports two versions: (i) the PHOOTONICS In-Home, used for DFU monitoring by patients and (ii) the PHOOTONICS PRO operated by physicians.
Reliability is achieved by optimizing i) passive Hyperspectral (HIS) NIR photo-detector, with an active tuneable diode illuminator for detecting SpO2/StO2, HbO2 and Hb, ii) a thermal-IR sensor of detecting hyperthermia/hypothermia distributions in ROIs and iii) a passive Mid-IR sensing with a Quantum Cascade Laser (QCL) optimized to capture additional tissue attributes such as proteomics (elastin, collagen) and metabolomics (glucose). Cost-effectiveness is achieved by introducing i) targeted photonics technologies for DFU, ii) implementing advanced signal processing/learning algorithms to increase the discrimination accuracy while maintaining hardware cost-benefit, (iii) developing a user-friendly framework operated by non-certified physicians, and even by patients (for the In-Home version), and (iv) minimising operational cost with our non-invasive device. Clinical studies are performed to validate the reliability of the new cost-effective device in real-life settings.
Fields of science
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- medical and health sciencesclinical medicineendocrinologydiabetes
- natural sciencesphysical sciencesacousticsultrasound
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
01116 Vilnius
Lithuania
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.