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      Wearable, Redundant Fabric-Based Sensor Arrays for Reconstruction of Body Segment Posture

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      IEEE Sensors Journal
      Institute of Electrical and Electronics Engineers (IEEE)

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          Sensitive skin

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            E-broidery: Design and fabrication of textile-based computing

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              NOSER: An algorithm for solving the inverse conductivity problem

              The inverse conductivity problem is the mathematical problem that must be solved in order for electrical impedance tomography systems to be able to make images. Here we show how this inverse conductivity problem is related to a number of other inverse problems. We then explain the workings of an algorithm that we have used to make images from electrical impedance data measured on the boundary of a circle in two dimensions. This algorithm is based on the method of least squares. It takes one step of a Newton's method, using a constant conductivity as an initial guess. Most of the calculations can therefore be done analytically. The resulting code is named NOSER, for Newton's One-Step Error Reconstructor. It provides a reconstruction with 496 degrees of freedom. The code does not reproduce the conductivity accurately (unless it differs very little from a constant), but it yields useful images. This is illustrated by images reconstructed from numerical and experimental data, including data from a human chest.
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                Author and article information

                Journal
                IEEE Sensors Journal
                IEEE Sensors J.
                Institute of Electrical and Electronics Engineers (IEEE)
                1530-437X
                December 2004
                December 2004
                : 4
                : 6
                : 807-818
                Article
                10.1109/JSEN.2004.837498
                f9fb230c-b891-4fe7-829f-50c1c5fa5e53
                © 2004
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