Banos Oresti, Villalonga Claudia, Damas Miguel, Gloesekoetter Peter, Pomares Hector, Rojas Ignacio
Department of Computer Architecture and Computer Technology, Research Center for Information and Communications Technologies, University of Granada (CITIC-UGR), C/Periodista Rafael Gomez Montero 2, 18014 Granada, Spain.
CGI Spain, Avenida de Manoteras 32, 28050 Madrid, Spain.
ScientificWorldJournal. 2014;2014:490824. doi: 10.1155/2014/490824. Epub 2014 Sep 10.
Technological advances on the development of mobile devices, medical sensors, and wireless communication systems support a new generation of unobtrusive, portable, and ubiquitous health monitoring systems for continuous patient assessment and more personalized health care. There exist a growing number of mobile apps in the health domain; however, little contribution has been specifically provided, so far, to operate this kind of apps with wearable physiological sensors. The PhysioDroid, presented in this paper, provides a personalized means to remotely monitor and evaluate users' conditions. The PhysioDroid system provides ubiquitous and continuous vital signs analysis, such as electrocardiogram, heart rate, respiration rate, skin temperature, and body motion, intended to help empower patients and improve clinical understanding. The PhysioDroid is composed of a wearable monitoring device and an Android app providing gathering, storage, and processing features for the physiological sensor data. The versatility of the developed app allows its use for both average users and specialists, and the reduced cost of the PhysioDroid puts it at the reach of most people. Two exemplary use cases for health assessment and sports training are presented to illustrate the capabilities of the PhysioDroid. Next technical steps include generalization to other mobile platforms and health monitoring devices.
移动设备、医疗传感器和无线通信系统的技术进步推动了新一代用于持续患者评估和更个性化医疗保健的无创、便携式且无处不在的健康监测系统的发展。健康领域的移动应用程序数量不断增加；然而，到目前为止，在使用可穿戴生理传感器操作这类应用程序方面，专门做出的贡献很少。本文介绍的PhysioDroid提供了一种远程监测和评估用户状况的个性化方法。PhysioDroid系统提供无处不在且持续的生命体征分析，如心电图、心率、呼吸率、皮肤温度和身体运动，旨在帮助增强患者能力并改善临床认知。PhysioDroid由一个可穿戴监测设备和一个安卓应用程序组成，该应用程序为生理传感器数据提供收集、存储和处理功能。所开发应用程序的多功能性使其既可供普通用户使用，也可供专家使用，而且PhysioDroid成本降低，大多数人都能使用。本文展示了两个用于健康评估和运动训练的示例用例，以说明PhysioDroid的功能。接下来的技术步骤包括推广到其他移动平台和健康监测设备。
