Stabilized linear model for neuromagnetic source localization

Yong Sheng Chen*, Chih Yu Cheng, Tzu Jung Lin, Jen Chuen Hsieh, Li Fen Chen

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review


In MEG studies, head movement during data recording often causes problems in event-related averaging as well as source localization accuracy. We propose in this work a stabilized linear model which can solve this head movement problem by conceptually increasing the sensor number, under the condition that the head movement is known. This method is particularly beneficial for MEG studies in which head movement commonly occurs, such as those studies requiring long experimental duration or those when patients/ children are involved. Phantom studies and studies of somatosensory evoked field clearly show the effectiveness and accuracy of the proposed method.

Original languageEnglish
Number of pages6
StatePublished - Feb 2007
Event5th IASTED International Conference on Biomedical Engineering, BioMED 2007 - Innsbruck, Austria
Duration: 14 Feb 200716 Feb 2007


Conference5th IASTED International Conference on Biomedical Engineering, BioMED 2007


  • Magnetoencephalography
  • Source localization
  • Stabilized linear model


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