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dc.contributor.authorWei, Chun-Shuen_US
dc.contributor.authorTsai, Chon-Hawen_US
dc.contributor.authorChiou, Shang-Mingen_US
dc.contributor.authorHseu, Ya-Tingen_US
dc.contributor.authorLiu, Ta-Weien_US
dc.contributor.authorLai, Hsin-Yien_US
dc.contributor.authorChien, Ting-Fangen_US
dc.contributor.authorKuo, Yi-Hsuanen_US
dc.contributor.authorZhao, Wan-Tingen_US
dc.contributor.authorTang, Yu-Shunen_US
dc.contributor.authorSu, Sheng Yuanen_US
dc.contributor.authorChen, You-Yinen_US
dc.date.accessioned2014-12-08T15:37:13Z-
dc.date.available2014-12-08T15:37:13Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-4244-4124-2en_US
dc.identifier.issn1557-170Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/25576-
dc.description.abstractMovement-related changes such as event-related desynchronizationcan (ERD) and event-related synchronization (ERS) can be found in human subthalamic nucleus (STN) with analysis on local field potentials (LFP) recorded from Parkinson's disease (PD) patients. Besides traditional time-frequency (TF) analysis, we introduced nonlinear analysis, bispectral and approximate entropy (ApEn), to measure the signal nonlinear correlation and regularity in neural activities. Movement-related changes were found in the beta band, bicoherence and ApEn, and variation during stationary movement is more available by nonlinear methods. Therefore, we suggest nonlinear analysis for further related studies.en_US
dc.language.isoen_USen_US
dc.titleNonlinear Analysis of Movement-related Changes in Human Subthalamic Local Field Potentialsen_US
dc.typeArticleen_US
dc.identifier.journal2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)en_US
dc.citation.spage4132en_US
dc.citation.epage4135en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000287964004133-
Appears in Collections:Conferences Paper