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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.

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

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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