多参数健康状态评估

M. Kozlovszky
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引用次数: 1

摘要

最近的小型、无处不在的移动传感器设备能够测量大量的重要参数。机体的健康状况与获得的信息相关。我们建立了一个动态的健康状态模型,该模型建立在收集到的生物体数据之上。数据采集是通过多平台数据采集框架(DAQit)实现的,该框架远程收集多模态传感器信息,为专家提供可视化/报警服务,并将信息转发给数据存档和调度中心进行进一步处理。动态健康状态模型和移动数据采集(mDAQ)系统使专家能够提供更好、更有效的远程健康状态监测、大规模人群筛查、更有效的预防和支持服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-parameter health state assessment
Recent small, ubiquitous and mobile sensor devices are capable to measure a large set of vital parameters. Organism's health status is correlated with the acquired information. We have established a dynamic health status model, which builds from the collected organism's data. The data collection is realized with a multiplatform data acquisition framework (DAQit), which collects multimodal sensor information remotely, provides visualization/alarming services for experts and forwards information towards to the data archive and dispatcher centers for further processing. The dynamic health status model and a mobile DAQ (mDAQ) system enable experts to provide better and more effective remote health status monitoring, large scale population screening, more effective prevention, and support services.
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