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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.

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

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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