Project description
Contactless symptom detection in long-term care patients
Long-term care for patients worldwide faces a shortage of trained workers to cover demand and a lack of automated and non-invasive medical tools for constant monitoring. Contactless monitoring of health and physical condition enables the early detection of conditions such as heart attack and stroke before they happen. The EU-funded HeartWatch project aims to develop software for off-the-shelf digital cameras providing resolution above 2 MP for the recognition of cardiac signals with 97.5 % accuracy and breathing signals with 98 % accuracy. The novel tool will work by detecting minor colour changes in the patient’s facial skin. The developed technology can be introduced for the detection of atrial fibrillation with 96 % accuracy, solving the problem of workforce shortage and the need for an automated, non-invasive system.
Objective
There are over 200m people globally in need of Long term care who are in receipt of some form of government aid. There
are 2 main problems faced in adequately providing this care: There are not enough workers in the industry to cover the
demand – only 47% coverage currently; and current Medical tools are only good for short term monitoring, these are not
automated and most are invasive. Contactless monitoring of health and physical conditions. Can detect symptoms of serious
conditions such as heart attack and stroke before they actually happen.
Using off-the-shelf digital cameras with resolutions above 2MP, HeartWatch’s facial recognition software can measure
cardiac signal with over 97.5% accuracy and breathing signal with over 98% accuracy by detecting minor colour changes in
the skin on a patient’s face. These can be used to detect Atrial Fibrillation with a 96% accuracy level. This helps solve both
the problem of insufficient workforce and the need for a fully automated, non-invasive system.
Total addressable market for Long Term Care in EU-15+Switzerland: $221B in year 2015 +4.1% CAGR -> $405B by year
2030. In the EU-15+Switzerland, there are 3.28m people in 2015 needing in-patient long-term care, and 7.12m at home. In
whole of Europe 4.2m & 8m respectively. The business model is B2B direct sales of cameras and monthly subscription to
nursing homes and long term care facilities, will then partner with distributors for scaling up. B2C sales through distributors of
cameras and monthly subscription for home use. This is supplemented by a monthly subscription based model, accessing
the monitoring and dashboard configurations and data insights for customers.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health scienceshealth sciencesnursing
- natural sciencescomputer and information sciencesartificial intelligencecomputer visionfacial recognition
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- medical and health sciencesclinical medicinecardiologycardiovascular diseases
- medical and health sciencesbasic medicineneurologystroke
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Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
20127 MILANO
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.