Opendata, web and dolomites

PHOOTONICS SIGNED

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

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 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.

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

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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PHOOTONICS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "PHOOTONICS" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.1.)

ADEPTNESS (2020)

Design-Operation Continuum Methods for Testing and Deployment under Unforeseen Conditions for Cyber-Physical Systems of Systems

Read More  

I.AM. (2020)

Impact Aware Manipulation by Dexterous Robot Control and Learning in Dynamic Semi-Structured Logistic Environments

Read More  

ELITR (2019)

European Live Translator

Read More