eHealth systems provide medical support to users and contribute to the development\nof mobile and quality health care. They also provide results on the prevention and follow-up of\ndiseases by monitoring health-status indicators and methodical data gathering in patients. Telematic\nmanagement of health services by means of the Internet of Things provides immediate support and it\nis cheaper than conventional physical presence methods. Currently, wireless communications and\nsensor networks allow a person or group to be monitored remotely. The aim of this paper is to develop\nand assess a system for monitoring physiological parameters to be applied in different scenarios,\nsuch as health or sports. This system is based on a distributed architecture, where physiological data\nof a person are collected by several sensors; next, a Raspberry Pi joins the information and makes\na standardization process; then, these data are sent to the Cloud to be processed. Our Cloud system\nstores the received data and makes a data fusion process in order to indicate the athleteâ??s fatigue\nstatus at every moment. This system has been tested in collaboration with a small group of voluntary\ntri-athletes. A network simulation has been performed to plan a monitoring network for a bigger\ngroup of athletes. Finally, we have found that this system is useful for medium-term monitoring of\nthe sports activities.
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