Literature DB >> 17664635

Multi-frequency EIT system with radially symmetric architecture: KHU Mark1.

Tong In Oh1, Eung Je Woo, David Holder.   

Abstract

We describe the development of a multi-frequency electrical impedance tomography (EIT) system (KHU Mark1) with a single balanced current source and multiple voltmeters. It was primarily designed for imaging brain function with a flexible strategy for addressing electrodes and a frequency range from 10 Hz-500 kHz. The maximal number of voltmeters is 64, and all of them can simultaneously acquire and demodulate voltage signals. Each voltmeter measures a differential voltage between a pair of electrodes. All voltmeters are configured in a radially symmetric architecture in order to optimize the routing of wires and minimize cross-talk. We adopted several techniques from existing EIT systems including digital waveform generation, a Howland current generator with a generalized impedance converter (GIC), digital phase-sensitive demodulation and tri-axial cables. New features of the KHU Mark1 system include multiple GIC circuits to maximize the output impedance of the current source at multiple frequencies. The voltmeter employs contact impedance measurements, data overflow detection, spike noise rejection, automatic gain control and programmable data averaging. The KHU Mark1 system measures both in-phase and quadrature components of trans-impedances. By using a script file describing an operating mode, the system setup can be easily changed. The performance of the developed multi-frequency EIT system was evaluated in terms of a common-mode rejection ratio, signal-to-noise ratio, linearity error and reciprocity error. Time-difference and frequency-difference images of a saline phantom with a banana object are presented showing a frequency-dependent complex conductivity of the banana. Future design of a more innovative system is suggested including miniaturization and wireless techniques.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17664635     DOI: 10.1088/0967-3334/28/7/S14

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


  12 in total

1.  DSP-based current source for electrical impedance tomography.

Authors:  Gary J Saulnier; Ahmed Abdelwahab; Omid Rajabi Shishvan
Journal:  Physiol Meas       Date:  2020-06-30       Impact factor: 2.833

2.  Electrical impedance spectroscopy-based defect sensing technique in estimating cracks.

Authors:  Tingting Zhang; Liangdong Zhou; Habib Ammari; Jin Keun Seo
Journal:  Sensors (Basel)       Date:  2015-05-08       Impact factor: 3.576

3.  Quantification of intraventricular hemorrhage with electrical impedance tomography using a spherical model.

Authors:  T Tang; R J Sadleir
Journal:  Physiol Meas       Date:  2011-06-07       Impact factor: 2.833

4.  A robust current pattern for the detection of intraventricular hemorrhage in neonates using electrical impedance tomography.

Authors:  T Tang; Sungho Oh; R J Sadleir
Journal:  Ann Biomed Eng       Date:  2010-03-18       Impact factor: 3.934

5.  Detection of intraventricular blood using EIT in a neonatal piglet model.

Authors:  R J Sadleir; Te Tang; Aaron S Tucker; Peggy Borum; Michael Weiss
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

6.  In vivo quantification of intraventricular hemorrhage in a neonatal piglet model using an EEG-layout based electrical impedance tomography array.

Authors:  Te Tang; Michael D Weiss; Peggy Borum; Sergei Turovets; Don Tucker; Rosalind Sadleir
Journal:  Physiol Meas       Date:  2016-05-20       Impact factor: 2.833

7.  Real-time electrical impedance variations in women with and without breast cancer.

Authors:  Ryan J Halter; Alex Hartov; Steven P Poplack; Roberta diFlorio-Alexander; Wendy A Wells; Kari M Rosenkranz; Richard J Barth; Peter A Kaufman; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2014-07-24       Impact factor: 10.048

8.  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

9.  Exploring the Potential of Electrical Impedance Tomography for Tissue Engineering Applications.

Authors:  Hancong Wu; Wenli Zhou; Yunjie Yang; Jiabin Jia; Pierre Bagnaninchi
Journal:  Materials (Basel)       Date:  2018-05-31       Impact factor: 3.623

10.  Electrical impedance imaging system using FPGAs for flexibility and interoperability.

Authors:  Harsh Sohal; Hun Wi; Alistair Lee McEwan; Eung Je Woo; Tong In Oh
Journal:  Biomed Eng Online       Date:  2014-08-30       Impact factor: 2.819

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.