| Correlation between signal-to-noise ratios and region of interest sensitivity ratios of bipolar EEG measurements. | |
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MedLine Citation:
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PMID: 18301935 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We have developed a parameter, which describes how well the measurement is concentrated on the region of interest source area compared to other source areas in the volume conductor. The parameter concept is called the region of interest sensitivity ratio (ROISR). We assume that ROISR is also connected to the SNR of the measurement. The objective of the present study was to investigate the assumed correlation between the ROISR and SNR of the measurement with three-layer spherical head model. We studied how the source distribution and orientation affect the correlation and thus how applicable the ROISR is in analysing the sensitivity distributions of measurements. We simulated bipolar EEG-evoked potential measurements with 16 combinations of four-source distribution and four-source orientation models. The results indicate that the ROISR correlates with the SNR of the measurement with all tested source distributions and orientations. Thus the ROISRs concept can be applied to analyse measurement setups by modelling and analysing the sensitivity distributions. |
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Authors:
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Juho Väisänen; Jaakko Malmivuo; Jari Hyttinen |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2008-02-27 |
Journal Detail:
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Title: Medical & biological engineering & computing Volume: 46 ISSN: 0140-0118 ISO Abbreviation: Med Biol Eng Comput Publication Date: 2008 Apr |
Date Detail:
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Created Date: 2008-03-20 Completed Date: 2008-06-11 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7704869 Medline TA: Med Biol Eng Comput Country: United States |
Other Details:
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Languages: eng Pagination: 381-9 Citation Subset: IM |
Affiliation:
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Department of Biomedical Engineering, Tampere University of Technology, P.O. Box 692, 33101 Tampere, Finland. juho.vaisanen@tut.fi |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Brain Mapping* Computer Simulation* Electroencephalography / standards* Evoked Potentials, Visual Humans Models, Neurological* Sensitivity and Specificity Signal Processing, Computer-Assisted |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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