Smart Wound Dressing incorporating Dye-based Sensors Monitoring of O2, pH and CO2 under the wound dressing and smart algorithms to assess the wound healing process (SWODDYS)

Third party funded individual grant


Acronym: SWODDYS

Start date : 01.09.2023

End date : 31.07.2026

Project details

Scientific Abstract

In Germany alone, the number of patients with chronic wound healing disorders is estimated at around 2.7 million. According to projections, the treatment of chronic wounds accounts for € 23 - 36 billion per year. Of the treatment costs for chronic wounds, 4.6 to 7.2 billion € alone are accounted for by the associated cost-intensive dressing materials. The aim of the SWODDYS project is to research the fundamentals for a new type of intelligent wound dressing for the treatment of acute and chronic wounds, which can monitor the energy-metabolic tissue and wound healing status individually for each patient and online by integrating fluorescent dye-based oxygen, pH and CO2 sensors. 

Involved:

Björn Eskofier Project Leader Heike Leutheuser Project Leader Heike Leutheuser Project Member Naga Venkata Sai Jitin Jami Project Member

Contributing FAU Organisations:

Machine Learning and Data Analytics Lab

Funding Source

Bayerische Forschungsstiftung