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A Wireless Body Area Network for Remote Observation of Physiological Signals

机译:用于远程观察生理信号的无线体积网络

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摘要

The objective of this work is to describe the design process of a wireless body area network (WBAN) for the remote observation of multiple physiological signals from a patient. Various sensors such as temperature, heart rate monitor utilizing electrocardiography, and accelerometer to detect fall and seizure conditions were integrated in the WBAN. Sensed data is wirelessly transmitted to the central control unit (CCU) that is associated with a remote base station. For benchmarking, medically certified sensors were employed to validate wearable sensors data. The sensor information can be ported in the cloud environment using CCU-based gateway with Global System for Mobile communication (GSM) modem capability. This mechanism is facilitating remote access to sensors information. To connect Radio Frequency (RF) units wirelessly, Zigbee mesh topology was adopted. In this way, they can be remotely overseen, managed and controlled by assigned staff. The presented prototype featuring the desired WBAN system performance was evaluated with different human postures and moving scenarios.
机译:这项工作的目的是描述用于远程观察来自患者的多个生理信号的无线体积网络(WBAN)的设计过程。各种传感器,如温度,心率监测仪利用心电图,以及加速度计检测下降和癫痫发作条件。感测数据无线地发送到与远程基站相关联的中央控制单元(CCU)。对于基准测试,采用医学认证的传感器来验证可穿戴传感器数据。传感器信息可以使用基于CCU的网关在云环境中移植,具有用于移动通信(GSM)调制解调器能力的全局系统。该机制促进远程访问传感器信息。为了无线连接射频(RF)单位,采用ZigBee网格拓扑。通过这种方式,他们可以通过指定的员工远程监督,管理和控制。通过不同的人类姿势和移动场景评估所需的WBAN系统性能的所呈现的原型。

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