PHOOTONICS SIGNED
A Cost-Effective Photonics-based Device for Early Prediction, Monitoring and Management of Diabetic Foot Ulcers
Total Cost €
0EC-Contrib. €
0Partnership
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0PHOOTONICS project word cloud
Explore the words cloud of the PHOOTONICS project. It provides you a very rough idea of what is the project "PHOOTONICS" about.
Project "PHOOTONICS" data sheet
The following table provides information about the project.
| Coordinator |
UAB METIS BALTIC
Organization address contact info |
| Coordinator Country | Lithuania [LT] |
| Total cost | 4˙624˙781 € |
| EC max contribution | 3˙686˙906 € (80%) |
| Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) |
| Code Call | H2020-ICT-2019-2 |
| Funding Scheme | IA |
| Starting year | 2019 |
| Duration (year-month-day) | from 2019-11-01 to 2023-04-30 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | UAB METIS BALTIC | LT (VILNIUS) | coordinator | 381˙937.00 |
| 2 | ALPES LASERS SA | CH (SAINT-BLAISE) | participant | 702˙187.00 |
| 3 | QUEST PHOTONIC DEVICES BV | NL (MIDDENMEER) | participant | 646˙625.00 |
| 4 | NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA | EL (ATHINA) | participant | 403˙750.00 |
| 5 | INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM | BE (LEUVEN) | participant | 397˙281.00 |
| 6 | EXUS SOFTWARE MONOPROSOPI ETAIRIA PERIORISMENIS EVTHINIS | EL (ATHENS) | participant | 318˙500.00 |
| 7 | CHARITE - UNIVERSITAETSMEDIZIN BERLIN | DE (BERLIN) | participant | 273˙750.00 |
| 8 | ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON | EL (ATHINA) | participant | 262˙500.00 |
| 9 | UNIVERSITATEA DE MEDICINA SI FARMACIE VICTOR BABES TIMISOARA | RO (TIMISOARA) | participant | 161˙250.00 |
| 10 | TIME.LEX | BE (BRUSSEL) | participant | 139˙125.00 |
Map
Project 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.
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