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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ozkurt, T.E. Butz, M. Schnitzler, A. |
| Copyright Year | 2012 |
| Description | Author affiliation: Enformatik Enstitüsü, Sağlık Bilişimi Bölümü, Orta Doğu Teknik Üniversitesi, Turkey (Ozkurt, T.E.) || Institut für Klinische, Neurowissenschaften und Medizinische Psychologie, Heinrich-Heine Universität, Turkey (Schnitzler, A.) || Institute of Neurology, University College London, UK (Butz, M.) |
| Abstract | Traditional analysis of brain signals is often realized under assumptions such as stationarity, linearity, predetermined frequency bands and basis functions. These strong assumptions imposed on brain signals might cause distortions leading to improper results. This study adapts a data-driven approach called ‘empirical mode decomposition’ in order to avoid unrealistic assumptions and minimize the parameter space. In this respect, we confront with the issues of band range determination and coherent source localization. Magnetoencephalographic (MEG) data and local field potentials (LFP) acquired from a Parkinson disease patient are used to demonstrate the use of the suggested methods. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 316020 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781467300551 |
| e-ISBN | 9781467300568 |
| e-ISBN | 9781467300544 |
| DOI | 10.1109/SIU.2012.6204834 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-04-18 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neuroscience Parkinson's disease Magnetic resonance imaging Coherence Educational institutions Electroencephalography |
| Content Type | Text |
| Resource Type | Article |
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