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Electronics 2018, 7(9), 183; https://doi.org/10.3390/electronics7090183

Cost-Effective eHealth System Based on a Multi-Sensor System-on-Chip Platform and Data Fusion in Cloud for Sport Activity Monitoring

1
Departament d’Informàtica, Universitat de València, 46100 Burjassot, Spain
2
Department of Physiology, Universitat de València, 46010 València, Spain
Current address: Avda Universitat s/n, 46100, Burjassot, Spain.
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 10 August 2018 / Revised: 28 August 2018 / Accepted: 4 September 2018 / Published: 9 September 2018
(This article belongs to the Special Issue Data Processing and Wearable Systems for Effective Human Monitoring)
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Abstract

eHealth systems provide medical support to users and contribute to the development of mobile and quality health care. They also provide results on the prevention and follow-up of diseases by monitoring health-status indicators and methodical data gathering in patients. Telematic management of health services by means of the Internet of Things provides immediate support and it is cheaper than conventional physical presence methods. Currently, wireless communications and sensor networks allow a person or group to be monitored remotely. The aim of this paper is to develop and assess a system for monitoring physiological parameters to be applied in different scenarios, such as health or sports. This system is based on a distributed architecture, where physiological data of a person are collected by several sensors; next, a Raspberry Pi joins the information and makes a standardization process; then, these data are sent to the Cloud to be processed. Our Cloud system stores the received data and makes a data fusion process in order to indicate the athlete’s fatigue status at every moment. This system has been tested in collaboration with a small group of voluntary tri-athletes. A network simulation has been performed to plan a monitoring network for a bigger group of athletes. Finally, we have found that this system is useful for medium-term monitoring of the sports activities. View Full-Text
Keywords: eHealth; sport; biomonitoring; sensor networks; Cloud; data fusion eHealth; sport; biomonitoring; sensor networks; Cloud; data fusion
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Segura-Garcia, J.; Garcia-Pineda, M.; Tamarit-Tronch, M.; Cibrian, R.M.; Salvador-Palmer, R. Cost-Effective eHealth System Based on a Multi-Sensor System-on-Chip Platform and Data Fusion in Cloud for Sport Activity Monitoring. Electronics 2018, 7, 183.

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