Descrizione del progetto
Le tecnologie wireless rilevano minacce alla salute e alla sicurezza
La popolazione mondiale sta invecchiando e l’incidenza della demenza o di altre gravi patologie che richiedono cure costanti è in aumento. Il monitoraggio della salute a domicilio 24 ore su 24, 7 giorni su 7 potrebbe avere un impatto significativo sul benessere e sulla qualità della vita. Immaginate di avere un’infermiera che controlla con discrezione i vostri parametri vitali e la vostra posizione corporea 24 ore su 24 per rilevare potenziali problemi di salute. ViSionRF sta sviluppando una tecnologia economica ed efficace per risolvere questo problema. Affidandosi alle tecnologie wireless standard e all’elaborazione avanzata dei segnali per avvisi rapidi e precisi, il sistema promette di migliorare il benessere del paziente e di ridurre il carico sui sistemi sanitari e sulle persone care.
Obiettivo
Dementia is a syndrome in which there is cognitive function deterioration and memory loss. Alzheimer's disease consists or contributes to 60–70% of dementia cases. At present, worldwide around 50 million people have dementia, but nearly 10 million new cases are added every year. The total number of people suffering from dementia is projected to reach 82 million in 2030 and 152 million by 2050 – a 3-fold increase. This puts tremendous pressure on the healthcare system and society as a whole. Equally important, dementia is overwhelming for patients' families and their carers, as they require full-time care and watch. For all these reasons it timely and imperative to develop a low-cost and efficient full-time health monitoring solution.
The goal of this research is to develop an unobtrusive system Suite (ViSionRF) that will be able to capture the vital physiological signals of users (breathing, heart rate, heart beat shape, body position), remotely by using low-power radar, Wi-Fi and RFID signal technologies. Envision a home with a single remote and unobtrusive device that acts as a stethoscope, heart monitor, irregular breath detector, and posture sensor. Such a home would have the ability to monitor your breathing, your heart (rate and pulse shape), and your position and alert your doctor when an emergency occurs. Such a home would help tremendously impaired citizens (e.g. dementia patients) and their carers.
Unlike traditional patient monitoring systems that require users to ‘wear’ devices and sensors, the proposed system does not require wearing any wearable electronic or on-body sensor. This maximizes mobility and makes the system completely transparent to the user. This is important as dementia sufferers repeatedly forget or decline to ‘wear’ their sensors. The goal will be achieved by developing a hybrid technology that merges Wi-Fi, radar and RFID responses with advanced signal processing algorithms that are further trained using powerful machine learning.
Campo scientifico
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
CORDIS classifica i progetti con EuroSciVoc, una tassonomia multilingue dei campi scientifici, attraverso un processo semi-automatico basato su tecniche NLP.
- natural sciencesbiological sciencesneurobiologycognitive neuroscience
- medical and health sciencesbasic medicineneurologydementiaalzheimer
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyWiFi
Parole chiave
Programma(i)
Argomento(i)
Meccanismo di finanziamento
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinatore
EH14 4AS Edinburgh
Regno Unito