Literature DB >> 17028402

Pseudo-polar drive patterns for brain electrical impedance tomography.

Xuetao Shi1, Xiuzhen Dong, Wanjun Shuai, Fusheng You, Feng Fu, Ruigang Liu.   

Abstract

Brain electrical impedance tomography (EIT) is a difficult task as brain tissues are enclosed by the skull of high resistance and cerebrospinal fluid (CSF) of low resistance, which makes internal resistivity information more difficult to extract. In order to seek a single source drive pattern that is more suitable for brain EIT, we built a more realistic experimental setting that simulates a head with the resistivity of the scalp, skull, CSF and brain, and compared the performance of adjacent, cross, polar and pseudo-polar drive patterns in terms of the boundary voltage dynamic range, independent measurement number, total boundary voltage changes and anti-noise performance based on it. The results demonstrate that the pseudo-polar drive pattern is optimal in all the aspects except for the dynamic range. The polar and cross drive patterns come next, and the adjacent drive pattern is the worst. Therefore, the pseudo-polar drive pattern should be chosen for brain EIT.

Entities:  

Mesh:

Year:  2006        PMID: 17028402     DOI: 10.1088/0967-3334/27/11/002

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  11 in total

1.  Exploring the Capabilities of a Piezoresistive Graphene-Loaded Waterborne Paint for Discrete Strain and Spatial Sensing.

Authors:  Alessio Tamburrano; Alessandro Proietti; Marco Fortunato; Nicola Pesce; Maria Sabrina Sarto
Journal:  Sensors (Basel)       Date:  2022-06-02       Impact factor: 3.847

2.  Intracranial electrical impedance tomography: a method of continuous monitoring in an animal model of head trauma.

Authors:  Preston K Manwaring; Karen L Moodie; Alexander Hartov; Kim H Manwaring; Ryan J Halter
Journal:  Anesth Analg       Date:  2013-07-10       Impact factor: 5.108

3.  Sparse image reconstruction of intracerebral hemorrhage with electrical impedance tomography.

Authors:  Yanyan Shi; Yuehui Wu; Meng Wang; Zhiwei Tian; Xiaolong Kong; Xiaoyue He
Journal:  J Med Imaging (Bellingham)       Date:  2021-01-13

4.  Real-time imaging of epileptic seizures in rats using electrical impedance tomography.

Authors:  Lei Wang; Yang Sun; Xinmin Xu; Xiuzhen Dong; Feng Gao
Journal:  Neuroreport       Date:  2017-08-02       Impact factor: 1.837

5.  Fast detection and data compensation for electrodes disconnection in long-term monitoring of dynamic brain electrical impedance tomography.

Authors:  Ge Zhang; Meng Dai; Lin Yang; Weichen Li; Haoting Li; Canhua Xu; Xuetao Shi; Xiuzhen Dong; Feng Fu
Journal:  Biomed Eng Online       Date:  2017-01-07       Impact factor: 2.819

6.  An on-line processing strategy for head movement interferences removal of dynamic brain electrical impedance tomography based on wavelet decomposition.

Authors:  Ge Zhang; Weichen Li; Hang Ma; Xuechao Liu; Meng Dai; Canhua Xu; Haoting Li; Xiuzhen Dong; Xingwang Sun; Feng Fu
Journal:  Biomed Eng Online       Date:  2019-05-09       Impact factor: 2.819

Review 7.  Advances in electrical impedance tomography-based brain imaging.

Authors:  Xi-Yang Ke; Wei Hou; Qi Huang; Xue Hou; Xue-Ying Bao; Wei-Xuan Kong; Cheng-Xiang Li; Yu-Qi Qiu; Si-Yi Hu; Li-Hua Dong
Journal:  Mil Med Res       Date:  2022-02-28

8.  Arrangement of boundary electrodes for detection of frontal lobe disease with electrical impedance tomography.

Authors:  Yanyan Shi; Zhiwei Tian; Meng Wang; Feng Fu; Yuehui Wu
Journal:  J Med Imaging (Bellingham)       Date:  2021-07-06

9.  Exploratory study on the methodology of fast imaging of unilateral stroke lesions by electrical impedance asymmetry in human heads.

Authors:  Jieshi Ma; Canhua Xu; Meng Dai; Fusheng You; Xuetao Shi; Xiuzhen Dong; Feng Fu
Journal:  ScientificWorldJournal       Date:  2014-05-29

10.  A Quantitative Evaluation of Drive Pattern Selection for Optimizing EIT-Based Stretchable Sensors.

Authors:  Stefania Russo; Samia Nefti-Meziani; Nicola Carbonaro; Alessandro Tognetti
Journal:  Sensors (Basel)       Date:  2017-08-31       Impact factor: 3.576

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