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PHOOTONICS

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Cerrado

A Cost Effective Photonics based Device for Early Prediction Monitoring and Man...

A Cost Effective Photonics based Device for Early Prediction Monitoring and Management of Diabetic Foot Ulcers 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... ver más

30/06/2024

METBALTIC

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

UAB METIS BALTIC No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 14 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-06-30

ICT-05-2019: Application driven Photonics compon...

I+D

Cerrada hace 5 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

14 Participantes

METBALTIC

371.94K€ | Lider

ABELLO LINDE

178.50K€ | Participante

CHARITE UNIVERSITAETSMEDIZI...

263.75K€ | Participante

QUEST MEDICAL IMAGING BV

N.D. | Participante

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Duración del proyecto: 56 meses Fecha Inicio: 2019-10-14
Fecha Fin: 2024-06-30

Líder del proyecto

UAB METIS BALTIC No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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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