About Inno4Health. - Inno4Health

About Inno4Health.

European project Inno4Health

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In our aging population, the number of surgeries performed is increasing rapidly. At the same time, there is a growing risk of complications, as patients are becoming frailer and have more comorbidities. In top sports, tracking the condition of athletes is essential to guide physical preparation. However, maladaptation to training, risks of injuries and adverse health events like sudden cardiac arrest are often reported in the news, affecting both elite as well as recreational athletes.

These problematic challenges deriving from the healthcare and sports domains may require solutions that have a lot more in common than it could be thought.

In the clinical community, preparing patients to be fit for surgery and rehabilitation generates a win-win situation for: i) payers in terms of healthcare cost savings, ii) patients in terms of health outcome and iii) clinicians in terms of workload, due to optimized speed of recovery and minimized chance of complications. In sports practice, preparing athletes to be fit for sport competition and recovery is a complex challenge, which requires insight into the fitness, recovery and psychological status of the individual.

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.

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.

The global wearable medical device market size was valued $10.3 billion in 2018 and is expected to witness a 26.1% CAGR over the next few years. The market size of player tracking is expected to grow from $2.1 billion in 2018 to $7.3 billion by 2023. The ambition of Inno4Health is to leverage the growth potential of wearable and monitoring technology to create a platform upon which data-driven and diversifiable solutions can be built to address the needs and challenges of the heterogeneous healthcare and sports market.

Inno4Health is composed by industrial leaders in the healthcare and sports domain (Philips and Polar), one industrial leader in security and privacy (Thales DIS/Gemalto), and by several SMEs, academic, clinical and sports partners. The added value of this consortium is that we will cover a broad spectrum in the technical and market value chain, with direct access to patients and athletes.

Canada

  • Kinduct
  • Rideshark
  • XCO Tech

Lithuania            

  • Kaunas University
  • Lipse
  • Lithuanian Sports University
  • Optitecha

Portugal             

  • ISEP
  • University Porto
  • Wiseware

Romania            

  • Beia Consult
  • Rigore t Popa University

The Netherlands             

  • Philips Research
  • Eindhoven University of Technology
  • Imec
  • MSB De Medici
  • PSV Eindhoven
  • Sportbizz
  • St Anne Hospital
  • Thunderbyte AI
  • TNO

Turkey 

  • ForteArGe Informatics
  • Karel Electronics
  • SRDC
  • Technasyon
  • Turkcell Technology