Project description
A smart non-wearable device for health monitoring in the elderly
Diabetes mellitus and congestive heart failure are frequent conditions in the elderly population. Especially elderly citizens living alone require frequent monitoring of vital signs to ensure appropriate health care and management. The EU-funded EarlyCare project is working on an innovative unobtrusive, non-wearable device that analyses signs such as urinary frequency and breathlessness that people often do not pay the necessary attention to. This smart device will be part of an IoT solution for the healthcare of senior citizens. The ultimate goal of the project is to promote healthy ageing and reduce the need for caregivers, offering the elderly a much-desired independence.
Objective
EarlyCare project aims at developing and implementing cutting-edge sensing technologies and advanced Artificial Intelligence (AI) techniques to create a Health Monitoring System enabling early prediction of Diabetes Mellitus (DM) and Congestive Heart Failure (CHF), through the continuous monitoring of vital signs of older adults’ living alone related to micturition and cardiac activities as well as their warning signs. The innovative aspect of EarlyCare solution is the efficient deployment of completely nonwearable, unobtrusive, and privacy-friendly devices such as gas sensors and wireless physiological sensors which are coupled with explainable AI to detect and analyse the underestimated warning signs (i.e. nocturia and pollakiuria as abnormal micturition activity, arrhythmia and breathlessness). The AI-powered systems will be trained using publicly accessible sets and refined during the first phase of piloting. EarlyCare will be integrated into an interoperable IoT platform (enSenior) and validated on voluntary patients. The successful conclusion of this project will contribute to promote healthy ageing and reduce burden of formal and informal caregivers of older adults by advancing in development of eHealth tools and smart devices. The proposed multidisciplinary research activities, training, transferable skills and secondments will grant the improvement and acquisition of the most appropriate skills for his future career development.
Fields of science
- natural sciencescomputer and information sciencesartificial intelligence
- medical and health scienceshealth scienceshealth care serviceseHealth
- medical and health sciencesclinical medicinecardiologycardiovascular diseasescardiac arrhythmia
- natural sciencescomputer and information sciencesinternetinternet of things
- medical and health sciencesclinical medicineendocrinologydiabetes
Keywords
Programme(s)
Funding Scheme
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinator
08700 Igualada
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.