A comparison of headnet electrode arrays for electrical impedance tomography of the human head
Tidswell, A.T. and Bagshaw, Andrew P. and Holder, David S. and Yerworth, Rebecca J. and Eadie, L. and Murray, S. and Morgan, L. and Bayford, Richard (2003) A comparison of headnet electrode arrays for electrical impedance tomography of the human head. Physiological Measurement, 24 (2). pp. 527-544. ISSN 0967-3334
Full text is not in this repository.
This item is available in the Library Catalogue
Three types of commercially available headnet electrode arrays, designed for use in EEG, and conventional EEG Ag/AgCl cup electrodes were tested on human subjects, and a realistic, saline-filled head-shaped tank was prepared with vegetable skin to simulate human skin in order to determine the optimum electrode system for electrical impedance tomography (EIT) of the human head. Impedance changes during EIT acquisition were produced in healthy volunteers during a finger–thumb apposition task and in tanks by the insertion of a Perspex rod. Signal-to-baseline noise, measured from raw EIT data, was 2.3 ± 0.3 and 2.3 ± 0.2 for the human and tank data, respectively. In both the human and tank experiments, a commercial hydrogel elasticated electrode headnet produced the least amount of baseline noise, and was the only headnet in the human data with noise levels acceptable for EIT imaging. Image quality measured in the tank was similar for most of the headnets tested, except that the EEG electrodes produced a higher positional error and electrodes in a geodesic elasticated net produced images with worse subjective image quality. Overall, the hydrogel elasticated headnet was judged to be the most suitable for human neuroimaging with EIT.
|Research Areas:||Science & Technology > Biomedical Science|
|Citations on ISI Web of Science:||8|
|Deposited On:||26 May 2009 09:40|
|Last Modified:||04 Feb 2014 07:13|
Repository Staff Only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year