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PHOOTONICS SIGNED

A Cost-Effective Photonics-based Device for Early Prediction, Monitoring and Management of Diabetic Foot Ulcers

Total Cost €

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EC-Contrib. €

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Partnership

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 PHOOTONICS 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.

ir    sensor    medical    detecting    distributions    algorithms    performed    hbo2    detects    diabetic    capture    saturations    indices    trials    nir    minimising    device    dfu    ulcers    certified    dfus    clinical    oxy    accuracy    sto2    reliability    qcl    cascade    captures    supports    lesion    discrimination    diode    consumables    infrared    effectiveness    oxygen    photo    signal    peripheral    early    quantum    prediction    contains    passive    tissue    patients    learning    foot    hyperthermia    framework    concluded    life    versions    skin    hypothermia    illuminator    settings    hyperspectral    additional    ultrasound    rois    home    version    maintaining    hb    spo2    active    photonics    hardware    pro    laser    biopsy    optimizing    sensing    deoxy    phootonics    collagen    technologies    physicians    health    operated    mid    validate    haemoglobin    attributes    benefit    regions    elastin    metabolomics    thermal    optimized    proteomics    detector    invasive    introducing    lipidomics    monitoring    glucose    tuneable    implementing   

Project "PHOOTONICS" data sheet

The following table provides information about the project.

Coordinator
UAB METIS BALTIC 

Organization address
address: JOGAILOS G 4
city: VILNIUS
postcode: 1116
website: www.metisbaltic.lt

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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.

# participants  country  role  EC contrib. [€] 
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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The information about "PHOOTONICS" are provided by the European Opendata Portal: CORDIS opendata.

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