Technical Objectives: Intelligent Biomedical Clothes for monitoring, diagnosing and treatment.

The key challenges for lowering the mortality rate in CVD and their related costs are by successful guiding, informing and motivating the citizen to adapt to a permanently healthier life style and the early diagnosis of acute events. It is the aim of the MyHeart project to develop innovative, personalised, easy-to-use solutions and tools, which help the citizen to adopt permanent healthier lifestyle.

A prerequisite for recommendations to change is to get information about the current health status and lifestyle of the user. Therefore we will develop solutions that will continuously monitor vital signs and context information, diagnose and analyse the health status and acute events, provide user feedback and seamlessly provide access to clinical and professional expertise if required.

For continuous measurements, we will develop electronic systems that are embedded into functional clothes. Functional clothes are clothes with integrated textile and non-textile sensors. The combination of functional clothes and integrated electronics will be intelligent biomedical clothes (IBC). Intelligent clothes are able to continuously monitor vital signs of the citizen, make diagnosis and trend detection and react on it (therapy recommendations). Intelligent clothes have integrated wireless technology to link to user feedback devices and if necessary to professional medical centers. Intelligent clothes together with user feedback devices form a complete system, which we call a MyHeart system. Currently, there are no appropriate solutions available that comprise this functionality.

The main Technical Challenges are:

  • Continuous Monitoring
  • Continuous Personalised Diagnosis
  • Continuous Therapy
  • Feedback to user
  • Remote Access and Professional Interaction

In general terms, the main innovations this project are the combination of novel wearable technologies (novel textile and electronic sensors, personalised algorithms, on-body computing) and user feedback and motivation concepts, in order to make a breakthrough towards new applications for prevention and early diagnose possible.