PODPose: Integrating Proper Orthogonal Decomposition and EITPose

TL;DR

This paper enhances EITPose, a posture detection device using electrical impedance tomography, by integrating proper orthogonal decomposition (POD) for electrode placement and data adaptation, improving accuracy and robustness.

Contribution

It introduces a novel data projection algorithm using POD to adapt to poor electrodes, and an electrode placement method based on the sensitivity volume, advancing EITPose's capabilities.

Findings

Data projection algorithm accurately synthesizes data from poor electrodes.

Electrode placement has minimal impact on overall system performance.

POD-based data adaptation improves robustness of EITPose.

Abstract

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.