WOUNDMONITOR

WOUNDMONITOR project aims at producing a non-invasive system device which can monitor the state of a patient's wounds simply by detecting bad bacteria in the air emitted from the wound. Using state of art sensors we will be able to detect and diagnose the presence of an infection almost instantaneously.

The treatment of critically ill patients suffering from burns, chronic skin ulcers or serious wounds, is often complicated by infection. Early detection of bacterial and/or fungal infections is a well identified problem in healthcare, where there are significant scientific and technical problems to be overcome.

WOUNDMONITOR will apply state of the art sensor technology for research and development on an innovative diagnostic system that will enable:

  • non-invasive sampling of volatiles emitted from burns, skin ulcers or gaping wounds
  • rapid processing of such samples with a mobile laboratory-based multi-technology gas sensor array and pattern recognition system
  • rapid diagnosis of changes in state of a patient
  • assistance to medical personnel in decision-making in the treatment of such patients
  • enhancement of patient safety and personalisation of healthcare and lifestyle management for patients.

For further information, please visit:
http://www.manchester.ac.uk/woundmonitor

Project co-ordinator:
The University of Manchester

Partners:

  • The University of Manchester (School of Chemical)
  • Engineering and Analytical Science) (UK)
  • Puslaidininkiu Fizikos Institutas (LT)
  • Kaunas Medical University Hospital (LT)
  • CNR-Istituto Nazionale per la Fisica della Materia, Brescia (IT)
  • Biodiversity SPA (IT)
  • Umwelt-Systemtechnik GmbH (DE)
  • Department of Burns and Plastic Surgery at South
  • Manchester University Hospitals Trust (UK)

Timetable: from 01/06 – to 12/08

Total cost: € 2.242.496

EC funding: € 1.665.687

Instrument: STREP

Project Identifier: IST-2004-027859

Source: FP6 eHealth Portfolio of Projects

Most Popular Now

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...