• DocumentCode
    40222
  • Title

    Improving MEG Performance With Additional Tangential Sensors

  • Author

    Nurminen, Jukka ; Taulu, Samu ; Nenonen, Jukka ; Helle, Lars ; Simola, Juha ; Ahonen, Antti

  • Author_Institution
    BioMag Lab., Hosp. District of Helsinki & Uusimaa, Helsinki, Finland
  • Volume
    60
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    2559
  • Lastpage
    2566
  • Abstract
    Recently, the signal space separation (SSS) method, based on the multipole expansion of the magnetic field, has become increasingly important in magnetoencephalography (MEG). Theoretical arguments and simulations suggest that increasing the asymmetry of the MEG sensor array from the traditional, rather symmetric geometry can significantly improve the performance of the method. To test this concept, we first simulated addition of tangentially oriented standard sensor elements to the existing 306-channel Elekta Neuromag sensor array, and evaluated and optimized the performance of the new sensor configuration. Based on the simulation results, we then constructed a prototype device with 18 additional tangential triple-sensor elements and a total of 360 channels. The experimental results from the prototype are largely in agreement with the simulations. In application of the spatial SSS method, the 360-channel device shows an approximately 100% increase in software shielding capability, while residual reconstruction noise of evoked responses is decreased by 20%. Further, the new device eliminates the need for regularization while applying the SSS method. In conclusion, we have demonstrated in practice the benefit of reducing the symmetry of the MEG array, without the need for a complete redesign.
  • Keywords
    magnetoencephalography; medical signal processing; neurophysiology; noise; signal reconstruction; Elekta Neuromag sensor array; MEG sensor array; SSS method; magnetoencephalography; residual reconstruction noise; signal space separation method; tangential triple-sensor elements; Calibration; Magnetic noise; Magnetic sensors; Noise; Sensor arrays; Biomagnetics; biomedical signal processing; magnetoencephalography; Adult; Algorithms; Computer Simulation; Head; Humans; Magnetoencephalography; Models, Theoretical; Reproducibility of Results; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2260541
  • Filename
    6509958