Quantified self-tools and eHealth services based on the Internet-of-Things (IoT) and big-data analyses have great business potential. Sensor nodes measure different physiological parameters and activities like movement, pressure wave, muscle activity, heart activity, body temperature, etc. These parameters are sent to a mobile device. A mobile application will give instant feedback and remedy actions based on user tailored algorithms. Such a solution can work e.g. as a personal health motivator. The data is then sent to cloud for storage and deeper analysis from where medical personnel can read them and analyze patient condition to result improved care. Such a scenario is presented in figure below.
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