Department of Computer Science Technology and Computation, University of Alicante, 03690 Alicante, Spain.
Department of Software and Computing Systems, University of Alicante, 03690 Alicante, Spain.
Sensors (Basel). 2017 Oct 10;17(10):2302. doi: 10.3390/s17102302.
The new Internet of Things paradigm allows for small devices with sensing, processing and communication capabilities to be designed, which enable the development of sensors, embedded devices and other 'things' ready to understand the environment. In this paper, a distributed framework based on the internet of things paradigm is proposed for monitoring human biomedical signals in activities involving physical exertion. The main advantages and novelties of the proposed system is 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 acquisition 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 predict not only situations of sudden death but also possible injuries.
新的物联网范式允许设计具有感知、处理和通信能力的小型设备，从而能够开发传感器、嵌入式设备和其他准备好理解环境的“事物”。在本文中，提出了一种基于物联网范式的分布式框架，用于监测涉及体力活动的人体生物医学信号。所提出系统的主要优点和新颖之处在于通过使用用户体域网内现有设备的资源来灵活计算健康应用。该框架可应用于其他移动环境，特别是需要进行密集数据采集和高处理的环境。最后，我们提出了一个案例研究来验证我们的建议，即监测足球运动员在足球比赛中的心率。这些设备采集的实时数据具有明确的社会目标，不仅能够预测猝死情况，还能够预测可能的伤害。
