Biofeedback data visualization for body sensor networks
Biofeedback data visualization for body sensor networks
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DOI：
10.1016/j.jnca.2010.08.005
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
J. Rodrigues;Orlando R. E. Pereira;P. Neves
中科院分区：
文献类型：
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作者：
J. Rodrigues;Orlando R. E. Pereira;P. Neves
身体传感器网络是一个由小型传感器设备（生物传感器）组成的网络，可感知个人的健康参数，允许 24/7 监控，提供生物反馈服务。这些网络通常有两层：传感器阵列和汇聚节点。汇聚节点管理网络，不断收集传感器数据。然而，原始传感器数据不足以实现生物反馈。身体传感器网络面临的挑战之一是处理原始生物传感器数据，以实现监测参数的适当医学可视化。本文调查了当前的一些方法，提出了基于特征的界面分类，并提出了基于移动设备的解决方案。该移动应用程序可以在支持 Java 和蓝牙的手机上运行，从而可以在单一解决方案中进行数据检索、存储和分析。移动应用提出了一种三层 BSN 操作方法，将移动设备添加到解决方案中。最终的系统为用户提供了一个功能齐全的健康监测平台，该平台易于使用和设置，并通过不同移动设备上的一系列完整测试进行了验证。
A body sensor network is a network of small sensor devices (biosensors) that sense health parameters of an individual, allowing 24/7 monitoring, providing biofeedback services. These networks have typically two layers: the sensor array and a sink node. The sink node manages the network, gathering sensor data continuously. However, raw sensor data is not enough to achieve biofeedback. One of the challenges body sensor networks present is the processing of raw biosensor data, in order to achieve a proper medical visualization of monitored parameters. This paper surveys some of the current approaches, proposes an interface classification based on features, and presents a solution based on a mobile device. The mobile application can run on a Java and Bluetooth enabled phone, allowing data retrieval, storage, and analysis in a single solution. The mobile application proposes a three-layer approach to BSN operation, adding the mobile device to the solution. The final system provides the user with a completely functional health-monitoring platform, which is easy to use and setup, validated through a complete series of tests on different mobile devices.