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Signal Analysis and Numerical Method Roles in Neural Interfaces Development

  • I. KuzmanićEmail author
  • I. Vujović
  • J. Šoda
  • M. Rogić Vidaković
Chapter
Part of the Advanced Structured Materials book series (STRUCTMAT, volume 113)

Abstract

Neural interfaces are developing worldwide owing to the wide spectrum of possible applications, ranging from military to entertainment industry. Future human-machine interaction (HMI) and brain-machine interfaces (BMI) are inconceivable without further development in the field. Possible applications can also be found in traffic, i.e. remote supervision and/or control of vehicles/ships. In order to obtain effective BMI, two tasks should be performed: the calculation of the EM field by numerical methods (FEM (Finite Elements Method), BEM (Boundary Elements Method), and hybrid) and signal analysis, which should tell the machine what is required (command understanding). Examples of brain signal analysis using FFT and various WT transforms are presented. The basics of numerical methods for topic application are also covered. EEG data are obtained by experiments on consenting human subjects. Finally, the implications of neural interface development and introduction to traffic applications are considered.

Keywords

Signal processing and analysis BEM/FEM BMI Wavelets Short-time FT EMD 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • I. Kuzmanić
    • 1
    Email author
  • I. Vujović
    • 1
  • J. Šoda
    • 1
  • M. Rogić Vidaković
    • 2
  1. 1.Analysis and Advanced Diagnostics Research and Education Laboratory (SPAADREL), Faculty of Maritime Studies, Signal ProcessingUniversity of SplitSplitCroatia
  2. 2.Department of Neuroscience, Laboratory for Human and Experimental Neurophysiology (LAHEN), School of MedicineUniversity of SplitSplitCroatia

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