Descrizione del progetto
Monitoraggio dei suoni vitali degli anziani
L’onere delle malattie croniche in Europa è in aumento ed è principalmente associato all’invecchiamento della popolazione. Le malattie croniche comportano un enorme onere finanziario per i sistemi sanitari. Il monitoraggio efficace dei segni vitali degli anziani è fondamentale. In quest’ottica, i ricercatori stanno sviluppando dispositivi innovativi e minimamente invasivi in grado di monitorare i segni vitali degli anziani nelle strutture di assistenza. Il progetto RayVS1, finanziato dall’UE, svilupperà un singolo sensore radar in grado di rilevare la posizione, il movimento (rilevamento delle cadute) e la frequenza cardiaca, nonché respiratoria, delle persone nelle strutture di assistenza senza alcuna interazione fisica con l’utente. Il sensore fornisce avvisi in tempo reale e personalizzati agli assistenti e agli operatori sanitari, proteggendo al contempo i dati personali degli utenti.
Obiettivo
Currently, Europe has the greatest percentage of population aged 65 or over (20%). As life expectancy is increasing there is
an increasing prevalence of chronic diseases which represents a major challenge for health systems. In fact, total ageing
costs in the EU are projected to reach 28.3% of GDP in 2060. Therefore, there is a huge need of developing innovative and
minimally invasive devices for monitoring elderly vital signs parameters and movements in care homes. The golden standard
methods are represented by smart sensors and camera systems. However, they lack in real-time alerting services, they
need constant physical interaction and have limited measurements capabilities. Raytelligence introduces the RayVS1, a
single radar sensor that can detect position, movement (fall detection), heart and respiration rate of persons in care homes
without the need of physically interact with the user. The sensor provides real-time and customized alerts to caregivers,
medical professionals and family members whenever the signals overcome predefined thresholds, through a dedicated
cloud application. This will ensure wide coverage (multiple people monitored with one sensor) and injury prevention thus
saving related healthcare costs. Moreover, it guarantees privacy to the users since personal data are securely stored into the
cloud and it ensures high precision and accurate motion measurements (20μm). RayVS1 has already obtained the CE mark
for in-home use. During the feasibility assessment, a go-to-market strategy and a supply chain will be established, as well as
further development plan will be drafted. During the second phase of innovation project, Raytelligence will optimize the
signal processing activity to monitor multiple individuals with one RayVS1 and extract another vital parameter, such as the
sleep quality. The production capacity will be increase up to 15k pieces per year. Validation trials will then be initiated for obtaining CE mark as a medical device.
Campo scientifico
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
Programma(i)
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Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-1
Meccanismo di finanziamento
SME-1 - SME instrument phase 1Coordinatore
302 42 HALMSTAD
Svezia
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.