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PCA-based artifact removal algorithm for stroke detection using UWB radar imaging

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Abstract

Stroke patients should be dispatched at the highest level of care available in the shortest time. In this context, a transportable system in specialized ambulances, able to evaluate the presence of an acute brain lesion in a short time interval (i.e., few minutes), could shorten delay of treatment. UWB radar imaging is an emerging diagnostic branch that has great potential for the implementation of a transportable and low-cost device. Transportability, low cost and short response time pose challenges to the signal processing algorithms of the backscattered signals as they should guarantee good performance with a reasonably low number of antennas and low computational complexity, tightly related to the response time of the device. The paper shows that a PCA-based preprocessing algorithm can: (1) achieve good performance already with a computationally simple beamforming algorithm; (2) outperform state-of-the-art preprocessing algorithms; (3) enable a further improvement in the performance (and/or decrease in the number of antennas) by using a multistatic approach with just a modest increase in computational complexity. This is an important result toward the implementation of such a diagnostic device that could play an important role in emergency scenario.

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Authors and Affiliations

  1. Department of Electronic Engineering, University of Rome “Tor Vergata”, Rome, Italy

    Elisa Ricci, Simone di Domenico, Ernestina Cianca & Tommaso Rossi

  2. Neuroscience Department, Policlinic of “Tor Vergata”, Rome, Italy

    Marina Diomedi

Authors
  1. Elisa Ricci
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  2. Simone di Domenico
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  3. Ernestina Cianca
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  4. Tommaso Rossi
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  5. Marina Diomedi
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Correspondence to Ernestina Cianca.

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The authors declare that they have no conflict of interest.

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Ricci, E., di Domenico, S., Cianca, E. et al. PCA-based artifact removal algorithm for stroke detection using UWB radar imaging. Med Biol Eng Comput 55, 909–921 (2017). https://doi.org/10.1007/s11517-016-1568-8

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  • DOI: https://doi.org/10.1007/s11517-016-1568-8

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