New method for analysing sensitivity distributions of electroencephalography measurements.
In this paper, we introduce a new modelling related parameter called region of interest sensitivity ratio (ROISR), which describes how well the sensitivity of an electroencephalography (EEG) measurement is concentrated within the region of interest (ROI), i.e. how specific the measurement is to the...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 46; no. 2; pp. 101 - 109 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Feb2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105747465&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105747465 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Feb2008 vid: 46 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105747465 NLM18189153 2009889429 10.1007/s11517-007-0303-x NLM18189153 105747465 ppf: 101 ppct: 8 formats: fmt: @attributes: type: P tig: atl: New method for analysing sensitivity distributions of electroencephalography measurements. aug: au: Väisänen J Väisänen O Malmivuo J Hyttinen J Väisänen, Juho Väisänen, Outi Malmivuo, Jaakko Hyttinen, Jari affil: Ragnar Granit Institute, Tampere University of Technology, Tampere, Finland sug: subj: Electroencephalography Methods Signal Processing, Computer Assisted Electrodes Models, Anatomic Sensitivity and Specificity Human ab: In this paper, we introduce a new modelling related parameter called region of interest sensitivity ratio (ROISR), which describes how well the sensitivity of an electroencephalography (EEG) measurement is concentrated within the region of interest (ROI), i.e. how specific the measurement is to the sources in ROI. We demonstrate the use of the concept by analysing the sensitivity distributions of bipolar EEG measurement. We studied the effects of interelectrode distance of a bipolar EEG lead on the ROISR with cortical and non-cortical ROIs. The sensitivity distributions of EEG leads were calculated analytically by applying a three-layer spherical head model. We suggest that the developed parameter has correlation to the signal-to-noise ratio (SNR) of a measurement, and thus we studied the correlation between ROISR and SNR with 254-channel visual evoked potential (VEP) measurements of two testees. Theoretical simulations indicate that source orientation and location have major impact on the specificity and therefore they should be taken into account when the optimal bipolar electrode configuration is selected. The results also imply that the new ROISR method bears a strong correlation to the SNR of measurement and can thus be applied in the future studies to efficiently evaluate and optimize EEG measurement setups. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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