Robust Reconstruction for Body Area Wireless Sensor Networks (RoReyBaN)

无线体域网络可用于医疗保健领域的广泛应用。这些网络由无线传感器节点组成，这些节点可以感知重要的生物医学信号，在局部对信号进行预处理以聚合数据并减少冗余，并通过无线信道传输信号。这种方法使人们能够自由移动，同时从他们身上感知到重要信号。然而，自由移动会产生明显的伪影，从而破坏有用的信号。因此，该项目的目的是联合设计源编码和信号重建阶段，以从有用的信号中去除运动伪影。联合设计将反过来确保(1)有效利用资源，以支持长期监测；(2)从人体区域网络中提取可靠的测量数据。作为我们方法的演示，该项目侧重于增强无线心电图（ECG）的测量。

Wireless body area networks can be useful for a wide range of applications in the healthcare domain. These networks consist of wireless sensor nodes which can sense vital biomedical signals, preprocess the signals locally in order to aggregate data and reduce redundancy, and communicate the signals over a wireless channel. This approach enables the free movement of people whilst vital signals are being sensed from them. However, free movement produces significant artefacts which can corrupt the useful signals. Thus, the aim of this project is to jointly design source coding and signal reconstruction stages in order to remove movement artefacts from useful signals. The joint design will in turn ensure (1) the efficient utilisation of resources, so as to support long term monitoring and (2) the extraction of reliable measurements from body area networks. As a demonstration of our approach, the project focuses on enhancing the measurements of wireless electrocardiograms (ECG).