DocumentCode
612453
Title
Selection of the control channels in a method for rapid determination of channel positions in high-density EEG studies
Author
Ping He
Author_Institution
Dept. of Biomed., Ind. & Human Factors Eng., Wright State Univ., Dayton, OH, USA
fYear
2013
fDate
25-28 May 2013
Firstpage
638
Lastpage
641
Abstract
We have developed a practical method for rapid determination of electrode positions in high-density EEG studies. For each electrode cap, a reference data set is first established by placing the cap on a reference head and measuring the 3-D position of each channel. A set of control channels are preselected that can simply be the standard 19 channels or their closest substitutes. During the experiment, only the 3-D positions of these control channels need to be measured and the position of each of the remaining channels is calculated from the position of the same channel in the reference data set using a local transformation determined by a subset (3 or 4) of nearest control channels. Six BioSemi ActiveTwo caps of different sizes and channel numbers were used to study the effects of the choice of the control channels on prediction errors. Our results show that by including the most peripheral channels in the set of control channels and by using 4 nearest control channels to determine the local transformation, the method produces a mean prediction error of about 2 mm and a maximum prediction error less than 7 mm.
Keywords
biomedical electrodes; electroencephalography; medical control systems; position measurement; BioSemi ActiveTwo caps; channel positions; control channels; electrode cap; electrode positions; high-density EEG; mean prediction error; Electrodes; Electroencephalography; Head; Magnetic heads; Magnetic resonance imaging; Position measurement; Standards; 3-D digitizer; Electrode position measurement; high-density EEG;
fLanguage
English
Publisher
ieee
Conference_Titel
Complex Medical Engineering (CME), 2013 ICME International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2970-5
Type
conf
DOI
10.1109/ICCME.2013.6548327
Filename
6548327
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