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    Functional Near Infrared Spectroscopy (fNIRS) synthetic data generation

    Leamy, Darren J. and Ward, Tomas E. and Sweeney, Kevin (2011) Functional Near Infrared Spectroscopy (fNIRS) synthetic data generation. In: 33rd Annual International Conference of the IEEE EMBS, August 30 - September 3, 2011, Boston, Massachusetts USA.

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    Accurately modelled computer-generated data can be used in place of real-world signals for the design, test and validation of signal processing techniques in situations where real data is difficult to obtain. Bio-signal processing researchers interested in working with fNIRS data are restricted due to the lack of freely available fNIRS data and by the prohibitively expensive cost of fNIRS systems. We present a simplified mathematical description and associated MATLAB implementation of model-based synthetic fNIRS data which could be used by researchers to develop fNIRS signal processing techniques. The software, which is freely available, allows users to generate fNIRS data with control over a wide range of parameters and allows for fine-tuning of the synthetic data. We demonstrate how the model can be used to generate raw fNIRS data similar to recorded fNIRS signals. Signal processing steps were then applied to both the real and synthetic data. Visual comparisons between the temporal and spectral properties of the real and synthetic data show similarity. This paper demonstrates that our model for generating synthetic fNIRS data can replicate real fNIRS recordings.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Functional Near Infrared Spectroscopy; fNIRS; synthetic data generation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 1476
    Depositing User: Dr Tomas Ward
    Date Deposited: 12 Sep 2012 08:44
    Journal or Publication Title: Proceedings of the 33rd Annual International Conference of the IEEE EMBS
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland: Research Frontiers Program 2009, Grant No. 09/RFP/ECE2376
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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