Inno4Health aims to stimulate innovation in continuous health and fitness monitoring to inform patients and their treating physician regarding the readiness associated with surgery and the ability to recover rapidly from invasive treatment. In sports, the same technology will be used to continuously assess fitness and health to provide information to athletes and their coaches and to help them optimize performance during competitions. Inno4Health will be a pioneer in the area of comprehensive data capturing and interpretation outside the hospital walls and training field. Inno4Health will foster advances in sensing technologies, emerging IoT communication capabilities and artificial intelligence for embedded data interpretation and user analytics.
Lithuanian partners will focus on professional athletes mental evaluation and training tool and work on how cognitive-mental abilities like reaction times, anticipation, risk taking, etc. influence their performance in competitions. Registration of physiological parameters together with decision making and cognitive tests is an important part in self-regulation programs of athletes. The main purpose of Lithuanian partners is to create a system prototype that uses virtual reality devices that support WebVR.
Project funding:
This research project is funded by the European Regional Development Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments under measure No. 01.2.2-MITA-K-702 “Promoting the Commercialisation and Internationalisation of R&D”.
Project results:
Inno4Health will create innovative design for wearable sensors (in-soles, shirts, plasters) that address usability needs of both patients and athletes. Wearable products (commercially available or investigational research prototypes) will be included in a device ecosystem to enable data collection in healthcare and sports use cases. AI technology will be used to develop algorithms for performance, fitness and health assessment that could be optimized locally at the user-level or scaled up to populations of patients and athletes. Ultimately, domain-dependent professional dashboards and AI-centred applications will be created to generate guidance for health and fitness improvement programs.
In Lithuania the implementation of mental state evaluation and training system prototype and AI techniques for data analysis will give feedback and identifies factors that are bottlenecking cognitive health performance. The improvements in smart coaching of professional athletes is promising tool to improve their mental abilities.
Period of project implementation: 2021-01-25 - 2023-01-24
Project coordinator: Lietuvos sporto universitetas
Project partners: UAB "Optitecha", MB "Lipsė", Kaunas University of Technology, Grigore T. Popa University of Medicine and Pharmacy of Iasi, ForteArGe Informatics Engineering Consultancy Ltd., SRDC Software Research Development and Consultancy, RideShark Corporation, XCO Tech Inc, Thunderbyte AI B.V, Kinduct Technologies Inc, Stichting IMEC Nederland, Philips Electronics Nederland B.V., PSV N.V., SportBizz BV, WISEWARE LDA, BEIA Consult International, Karel Electronics, Teknasyon, Turkcell Teknoloji, MSB de Medici, St Anna Hospital, Instituto Superior de Engenharia do Porto (ISEP), Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek TNO, TECHNISCHE UNIVERSITEIT EINDHOVEN (TUE), University of Porto, INSTITUTO SUPERIOR DE ENGENHARIA PORTO
