eHEALTH
The challenge is to help overcome the current gaps in exploitation of promising research results in ICT for Health, Well-being and Ageing well and to stimulate increased availability and market uptake of relevant ICT products and services This concerns both interoperable and secure eHealth solutions for consumers and institutional healthcare delivery building on standards and new ICT solutions and innovation ecosystems for ageing well building on open software platforms, in order to deliver new and more efficient care to European citizens and respond to new market opportunities for SMEs.
Particular attention should be given to potential for disruptive innovation and fast market up-take in ICT for health, wellbeing and ageing well. In particular it will be interesting for SMEs and young companies that are looking for swift support to their innovative ideas.
We propose the new methodology for optimisation of vehicle driving and control includes the best system of online e-Health supervising. The methods based on using of modern smart technology.
The implementation of these methods provides:
- Mounted on car dashboard the video camera to supervise the driver’s face mime including the eye’s pupil motions;
- Integrated in bracelet sensors to supervise many of human health parameters;
- Integrated in jewelries e-health sensors for control many of human body parameters;
- By means of bio-sensors connected to computer to diagnose stress induced diseases in cardio vascular systems of the driver.
- Optimisation of energy using in vehicles
- Distance visualisation of parameters to the mobile gadgets iPhone, iPad, etc.
- Using of computer cloud technologies for collection of statistical data, visualisation and control
- Consideration of driver operation characteristics and driving control of vehicles by the different driving performance
- Using of fuzzy mathematics for optimisation and speed up of decisions.
The individual approach to each human can give the unique possibility of car manner driving control. The supervising the real time cardio human parameters gets fine e-health tuning of the smart car control system.
