The iPrognosis project
iPrognosis was a project that seeked to develop a personalized and innovative healthcare solution for patients suffering from chronic conditions, such as Parkinson's disease (PD).
The project aimed to improve the quality of life for these patients by using advanced technology to monitor their symptoms and provide real-time feedback and guidance. iPrognosis leveraged the latest advances in wearable technology, machine learning, and mobile health to create a unique, patient-centred solution that empowers patients to take control of their health and wellness.
The iPrognosis system consisted of wearable devices, mobile applications, and cloud-based data analysis tools that work together to provide a complete picture of the patient's health. The wearable devices were continuously monitoring the patient's symptoms and physical activity, while the mobile applications provided easy-to-use interfaces for patients to interact with the system and receive feedback and guidance. The cloud-based data analysis tools used machine learning algorithms to analyse the patient's data and provide meaningful insights and recommendations for the patient and their healthcare provider. A community of over 5000 older individuals was created to provide behavioural data through the use of their mobile devices. Advanced data analytics and machine learning techniques were used to create a PD Behavioural Model and early symptom alarms while ensuring privacy. Early-stage PD patients received ICT-based interventions for physical and emotional support, improved sleep, and voice and gait improvement, contributing to healthy and active aging.
iPrognosis was a 4-year project funded by the EU Research Programme Horizon 2020 and developed by a consortium of leading academic institutions and companies from across Europe, working together to bring this innovative solution to patients suffering from chronic conditions. The project's goal was to create a sustainable, scalable, and replicable solution that can be adopted by healthcare providers and patients across Europe and beyond.
Work Unit Leader: Ioannis Ioakeimidis