• DocumentCode
    1850305
  • Title

    Decoding Performance for Hand Movements: EEG vs. MEG

  • Author

    Waldert, S. ; Braun, C. ; Preissl, H. ; Birbaumer, N. ; Aertsen, A. ; Mehring, C.

  • Author_Institution
    Univ. of Tubingen, Tubingen
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    5346
  • Lastpage
    5348
  • Abstract
    A direct comparison of the decoding performance of EEG and MEG in respect of hand movements is provided in this study. We recorded simultaneously EEG and MEG signals of the human contralateral motor cortex during center-out movements (four targets) and decoded directions by regularized linear discriminant analysis. Similar maximum decoding power (DP) was found for EEG (54%) and MEG (57%) ~450ms after movement onset, using EEG+MEG the DP remained at 57%. No significant (p>0.05) difference for the maximum DP between the three signals was found. EEG and MEG provided significant (p<0.05) DP ~0ms and ~-100ms relative to movement onset. In conclusion, EEG and MEG yield approximately the same maximal DP in this paradigm with the MEG allowing for a slightly and significantly (p<0.05) earlier decoding than the EEG.
  • Keywords
    biomechanics; decoding; electroencephalography; magnetoencephalography; neuromuscular stimulation; EEG; MEG; decoding performance; electroencephalography; hand movements; human contralateral motor cortex; magnetoencephalography; regularized linear discriminant analysis; Brain; Decoding; Electrodes; Electroencephalography; Electromagnetic measurements; Humans; Linear discriminant analysis; Magnetic materials; Magnetic recording; Magnetic separation; Adult; Algorithms; Brain Mapping; Electroencephalography; Evoked Potentials, Motor; Female; Humans; Information Storage and Retrieval; Magnetoencephalography; Male; Motor Cortex; Motor Skills; Movement; Task Performance and Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353549
  • Filename
    4353549