Literature DB >> 17282483

High precision Multifrequency Electrical Impedance Tomography System and Preliminary imaging results on saline tank.

Shi Xuetao1, You Fusheng, Fu Feng, Liu Ruigang, Dong Xiuzhen.   

Abstract

To establish a high precision data acquisition system for multi-frequency electrical impedance tomography (EIT), a series of methods were introduced. Those methods include building a driving signal with up to four frequency components to diminish the effect of the dynamic change of tissues resistivity, extracting the impedance information by a digital demodulator that can improve the SNR by 8 times. The system that established can work at a wide range from 1.6kHz to 380kHz. Its CMRR is 74dB at 100kHz. The output impedance of current source is 2MΩ at that frequency. And measurement precision on a 100ohm resistor is better than -80dB in full bandwidth. Both the quasi-static and the dynamic imaging results based on a saline tank can reflect the resistivity changes inside the phantom clearly. Therefore, the system was competent in multifrequency EIT research work.

Entities:  

Year:  2005        PMID: 17282483     DOI: 10.1109/IEMBS.2005.1616714

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  9 in total

1.  Use of electrical impedance tomography to monitor regional cerebral edema during clinical dehydration treatment.

Authors:  Feng Fu; Bing Li; Meng Dai; Shi-Jie Hu; Xia Li; Can-Hua Xu; Bing Wang; Bin Yang; Meng-Xing Tang; Xiu-Zhen Dong; Zhou Fei; Xue-Tao Shi
Journal:  PLoS One       Date:  2014-12-04       Impact factor: 3.240

2.  In Vivo Bioimpedance Spectroscopy Characterization of Healthy, Hemorrhagic and Ischemic Rabbit Brain within 10 Hz-1 MHz.

Authors:  Lin Yang; Wenbo Liu; Rongqing Chen; Ge Zhang; Weichen Li; Feng Fu; Xiuzhen Dong
Journal:  Sensors (Basel)       Date:  2017-04-07       Impact factor: 3.576

3.  A Versatile and Reproducible Multi-Frequency Electrical Impedance Tomography System.

Authors:  James Avery; Thomas Dowrick; Mayo Faulkner; Nir Goren; David Holder
Journal:  Sensors (Basel)       Date:  2017-01-31       Impact factor: 3.576

4.  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

5.  Combing signal processing methods with algorithm priori information to produce synergetic improvements on continuous imaging of brain electrical impedance tomography.

Authors:  Haoting Li; Rongqing Chen; Canhua Xu; Benyuan Liu; Xiuzhen Dong; Feng Fu
Journal:  Sci Rep       Date:  2018-07-04       Impact factor: 4.379

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

7.  In vivo imaging of twist drill drainage for subdural hematoma: a clinical feasibility study on electrical impedance tomography for measuring intracranial bleeding in humans.

Authors:  Meng Dai; Bing Li; Shijie Hu; Canhua Xu; Bin Yang; Jianbo Li; Feng Fu; Zhou Fei; Xiuzhen Dong
Journal:  PLoS One       Date:  2013-01-25       Impact factor: 3.240

8.  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

9.  A novel 3D-printed head phantom with anatomically realistic geometry and continuously varying skull resistivity distribution for electrical impedance tomography.

Authors:  Jie Zhang; Bin Yang; Haoting Li; Feng Fu; Xuetao Shi; Xiuzhen Dong; Meng Dai
Journal:  Sci Rep       Date:  2017-07-04       Impact factor: 4.379

  9 in total

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