Main Article Content
Abstract
Internet of Things (IoT) allows for small devices with sensing, processing and communication ability to be designed, which enable the development of sensors, embedded devices and other ‘things’ ready to realize the environment. In this paper, a distributed framework based on the internet of things archetype is proposed for monitoring human biomedical signals in activities involving physical action. The main advantages of the proposed system are the flexibility in computing the health application by using resources from available devices inside the body area network of the user. This proposed framework can be applied to other mobile environments, especially those where intensive data possession and high processing needs take place. Finally, we present a case study in order to validate our proposal that consists in monitoring footballers’ heart rates during a football match. The real-time data acquired by these devices presents a clear social objective of being able to forecast not only situations of sudden death but also possible injuries.