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An Intelligent Atrial Fibrillation Wireless Monitoring System Based on Nonlinear Bind Source Extraction Algorithm

机译:基于非线性绑定源提取算法的智能房颤无线监测系统

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The proposed system is designed to monitor patients with atrial fibrillation (AF) in family. This system mainly consists of wireless sensor networks (WSNs), which contains several mobile sensor nodes and coordinator for acquisition of bio-signals, and an embedded computer (EC) for signal processing. The WSNs are responsible to acquire and transmit Electrocardiogram (ECG). The EC is to extract the AF signal using nonlinear blind source extraction (BSE) algorithm. The extracted AF signal is then utilized to intelligently judge whether or not AF is on, based on which the system will send alert information to related doctors via Ethernet. In the meantime, the extracted AF signal is displayed on liquid crystal display (LCD), and then is also sent to relate doctors. The system aims to be low-cost, low-power consumption, small size and long-distance (up to thirty meters) transmission, can be further integrated into other healthcare monitoring system, and is expected to have great potential in family monitoring.
机译:拟议中的系统旨在监测家庭中发生房颤(AF)的患者。该系统主要由无线传感器网络(WSN)组成,该网络包含多个移动传感器节点和用于获取生物信号的协调器,以及用于信号处理的嵌入式计算机(EC)。 WSN负责获取和传输心电图(ECG)。 EC将使用非线性盲源提取(BSE)算法来提取AF信号。然后,提取的AF信号将用于智能判断AF是否开启,系统将基于该信号通过以太网将警报信息发送给相关医生。同时,提取的AF信号显示在液晶显示器(LCD)上,然后也发送给相关医生。该系统旨在实现低成本,低功耗,小尺寸和长距离(最多三十米)的传输,可以进一步集成到其他医疗监护系统中,并有望在家庭监护中具有巨大的潜力。

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