Descripción del proyecto
Un método no invasivo para inspeccionar úlceras diabéticas del pie
Aproximadamente el 15 % de los enfermos de diabetes desarrollan una úlcera o herida que, generalmente, está localizada en la planta del pie. De los que desarrollen una úlcera en el pie, el 6 % tendrán que ser hospitalizados. La amputación es la consecuencia más temida de una úlcera en el pie. Para revertir esta tendencia y ayudar a prevenir las úlceras diabéticas del pie, el proyecto financiado con fondos europeos PHOOTONICS desarrollará un dispositivo basado en fotónica no invasivo, fiable y rentable. Este dispositivo no invasivo se utilizará en el domicilio a fin de controlar la temperatura del pie para la prevención y la detección temprana de las úlceras diabéticas del pie. El objetivo es sustituir los métodos actuales como la biopsia de lesiones cutáneas, que son invasivos y requieren consulta médica.
Objetivo
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.
Ámbito científico
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- medical and health sciencesclinical medicineendocrinologydiabetes
- natural sciencesphysical sciencesacousticsultrasound
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-ICT-2019-2
Régimen de financiación
IA - Innovation actionCoordinador
01116 Vilnius
Lituania
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.