完整後設資料紀錄
DC 欄位語言
dc.contributor.authorChen, Yong-Shengen_US
dc.contributor.authorCheng, Chih-Yuen_US
dc.contributor.authorLin, Tzu-Jungen_US
dc.contributor.authorHsieh, Jen-Chuenen_US
dc.contributor.authorChen, Li-Fenen_US
dc.date.accessioned2014-12-08T15:08:25Z-
dc.date.available2014-12-08T15:08:25Z-
dc.date.issued2007en_US
dc.identifier.isbn978-0-88986-648-5en_US
dc.identifier.urihttp://hdl.handle.net/11536/6512-
dc.identifier.urihttp://dx.doi.org/10.1145/1298239.1298250en_US
dc.description.abstractIn 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.en_US
dc.language.isoen_USen_US
dc.subjectmagnetoencephalographyen_US
dc.subjectsource localizationen_US
dc.subjectstabilized linear modelen_US
dc.titleStabilized linear model for neuromagnetic source localizationen_US
dc.typeArticleen_US
dc.identifier.doi10.1145/1298239.1298250en_US
dc.identifier.journalProceedings of the Fifth IASTED International Conference on Biomedical Engineeringen_US
dc.citation.spage55en_US
dc.citation.epage60en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000246299900011-
顯示於類別:會議論文