NDLI: New method for analysing sensitivity distributions of electroencephalography measurements

Content Provider	Springer Nature Link
Author	Väisänen, Juho Väisänen, Outi Malmivuo, Jaakko Hyttinen, Jari
Copyright Year	2007
Abstract	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.
Starting Page	101
Ending Page	108
Page Count	8
File Format	PDF
ISSN	01400118
Journal	Medical and Biological Engineering and Computing
Volume Number	46
Issue Number	2
e-ISSN	17410444
Language	English
Publisher	Springer-Verlag
Publisher Date	2008-01-10
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Electroencephalography Modelling Region of interest sensitivity ratio Sensitivity distribution Signal-to-noise ratio Neurosciences Computer Applications Imaging Radiology Human Physiology Biomedical Engineering
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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