CORDIS · 745396 · H2020
DogSPEC Multimodal Spectral Imaging for Canine Skin Erythema Estimation: from the Lab to the Clinic – DogSPEC
Coordinator: LATVIJAS UNIVERSITATE (LV)
In this action, we propose a novel portable and cost-effective multispectral device for smartphones that will monitor dog skin health in terms of erythema. Up to 50-% of European households own a dog, and the five of the ten most common reasons for a veterinary visit can be reflected in erythematous skin. Currently, there are no methods for the objective estimation of the intensity of erythema. In this action, we will first develop multispectral near-infrared device for the detection of extra absorption peaks of hemoglobin. In order to learn about hemodynamics, we will continue with objective…
About Horizon 2020 (2014–2020)
Horizon 2020 was the EU's flagship research and innovation programme for 2014–2020, with a budget of around €77 billion. It bundled FP7's strands with the EIT and the Competitiveness and Innovation Programme, introduced a stronger societal-challenge orientation, and pushed the funding logic toward closer-to-market innovation. New calls closed in 2020 but funded projects continued through 2024.
The project runs over approximately 2.6 years from 2017-08-22 to 2020-04-13.
Full record on CORDIS — partners, deliverables, publications, news.
Open on cordis.europa.eu → Grant DOI ↗More from LV
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Frequently asked questions
- Who funds this research project?
- This project is funded by the European Union through the Horizon 2020 (2014–2020) programme, under the MSCA-IF-EF-ST funding scheme.
- Which EU programme funds it?
- The project is funded under Horizon 2020 (2014–2020), call H2020-MSCA-IF-2016.
- Who coordinates the project?
- The project is coordinated by LATVIJAS UNIVERSITATE (LV).
- What is the project timeline?
- The project runs from 2017-08-22 to 2020-04-13 — approximately 2.6 years.
- Where can I find the full project record?
- The complete record — partners, deliverables, publications and news — is published on CORDIS under project ID 745396.