This work examines two ways of using proper orthogonal decomposition (POD) to enhance the prior work of EITPose, a device which uses electrical impedance tomography (EIT) to detect posture by way of a band of electrodes on the forearm. First, an electrode placement algorithm is described, which employs the sensitivity volume method and a POD basis to choose the combination of electrode locations that spans the POD basis most effectively. Next, a data placement algorithm is introduced, which uses a POD basis to account for electrodes that are providing poor data. Analysis is conducted on these two algorithms using the same techniques as the original EITPose paper, and it is shown that the electrode placement has little effect, but the data projection algorithm is very accurate when synthesizing data. The data projection algorithm represents a novel technique for adapting EIT devices live to poor electrodes, and can be applied to future implementations of the sensing technique.

翻译：本研究探讨了两种利用本征正交分解（POD）来改进现有EITPose工作的方法。EITPose是一种通过前臂电极带利用电阻抗断层扫描（EIT）检测姿态的装置。首先，本文描述了一种电极放置算法，该算法采用灵敏度体积法与POD基，以选择能最有效张成POD基的电极位置组合。其次，本文提出了一种数据投影算法，该算法利用POD基来处理提供劣质数据的电极。采用与原始EITPose论文相同的技术对这两种算法进行分析，结果表明电极放置算法效果甚微，而数据投影算法在合成数据时具有很高的准确性。该数据投影算法代表了一种新颖的技术，能够实时适配EIT设备以应对劣质电极问题，可应用于该传感技术的未来实现中。