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Time frequency analysis and spatial filtering in the evaluation of beta ERS after finger movement

dc.contributor.authorCarducci, F
dc.contributor.authorCincotti, F
dc.contributor.authorBabiloni, F
dc.contributor.authorBianchi, AM
dc.contributor.authorFoffani, G
dc.contributor.authorCerutti, S
dc.contributor.authorBabiloni, C
dc.contributor.authorRossini, PM
dc.date.accessioned2022-02-18T09:58:48Z
dc.date.available2022-02-18T09:58:48Z
dc.identifier.citationBianchi A., Foffani G., Cerutti S., Babiloni C., Rossini P., Carducci F., Babiloni F., Cincotti F., "Time frequency analysis and spatial filtering in the evaluation of beta ERS after finger movement", 23rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, İstanbul, Türkiye, 25 - 28 Ekim 2001, cilt.23, ss.990-993
dc.identifier.othervv_1032021
dc.identifier.otherav_701e7d42-39aa-49a8-85fe-185c0453392e
dc.identifier.urihttp://hdl.handle.net/20.500.12627/178354
dc.description.abstractDifferent methods are compared for the evaluation of the event related synchronization (ERS) in the beta rhythm corresponding to finger movements. In addition to the standard procedure usually employed, the realistic Surface Laplacian (SL) is here introduced to improve the spatial localization of the phenomenon, while a Wavelet Packet (WP) decomposition approach is intended to better detect the time dependent characteristics. The parameters of interest (ERS amplitude and latency) were statistically analyzed through Analysis of Variance (ANOVA) and Scheffe's test. The WP filtering results are well comparable with the traditional filtering procedure. On the other hand, the realistic SL considerably improves the spatial localization and the consistency of the estimation (decreased variance) of the ERS amplitude.
dc.language.isoeng
dc.subjectLife Sciences
dc.subjectHealth Sciences
dc.subjectCARDIAC ve CARDIOVASCULAR SİSTEMLER
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectMühendislik
dc.subjectNEUROSCIENCES
dc.subjectSinirbilim ve Davranış
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectDahili Tıp Bilimleri
dc.subjectKardiyoloji
dc.subjectBilgisayar Bilimleri
dc.subjectBilgisayar Grafiği
dc.subjectBiyomedikal Mühendisliği
dc.subjectYaşam Bilimleri
dc.subjectMühendislik ve Teknoloji
dc.subjectSensory Systems
dc.subjectTemel Bilimler
dc.subjectDevelopmental Neuroscience
dc.subjectCellular and Molecular Neuroscience
dc.subjectCognitive Neuroscience
dc.subjectGeneral Neuroscience
dc.subjectNeuroscience (miscellaneous)
dc.subjectGeneral Engineering
dc.subjectComputers in Earth Sciences
dc.subjectComputer Graphics and Computer-Aided Design
dc.subjectGeneral Computer Science
dc.subjectHuman-Computer Interaction
dc.subjectEngineering (miscellaneous)
dc.subjectBiomedical Engineering
dc.subjectComputer Science (miscellaneous)
dc.subjectBioengineering
dc.subjectComputer Science Applications
dc.subjectCardiology and Cardiovascular Medicine
dc.subjectPhysical Sciences
dc.titleTime frequency analysis and spatial filtering in the evaluation of beta ERS after finger movement
dc.typeBildiri
dc.contributor.department, ,
dc.identifier.volume23
dc.contributor.firstauthorID3371894


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