Literature DB >> 3568562

Impedance imaging in the newborn.

D Murphy, P Burton, R Coombs, L Tarassenko, P Rolfe.   

Abstract

We have been investigating the use of electrical impedance methods for the study of cerebral haemodynamics in the newborn for many years. Of particular interest has been the early detection of intraventricular haemorrhage, which is a major cause of death or handicap in low birthweight infants. Several problems exist in obtaining representative impedance measurements from the newborn, most notably movement artefact, respiratory-based modulation and a blood-flow related pulsatile component. Movement artefact is by far the most significant problem; in order to perform long-term monitoring we have developed an effective algorithm for rejection of corrupted data. To remove the respiratory component, which can be 1-2% of the impedance measurement, we link to the output of a respiratory monitor (standard in intensive care units) as a means of synchronising measurements to a fixed point in the respiratory cycle. Similarly, to remove the blood-flow pulsatile component, measurements are gated from the R-wave of the recorded ECG. Our total system consists of a front-end measurement system that passes image data over a serial link to a host computer. Data storage, image reconstruction and display is performed on the host, which can be any of a wide range of personal computers. The front-end contains the impedance measurement circuit, electrode switching electronics and a microprocessor for control, and is of a sufficiently small size to fit into the incubator next to the baby. Incorporating a microprocessor into the front-end produces a very flexible system that has many benefits, including: asynchronous operation from host, 'intelligent' pre-processing of measurements, command driven operation from host, etc. Software development for the front-end is performed on the host with program down-load for interactive debugging. Details of the front-end electronics and software, system performance, preliminary clinical results and other application areas of the impedance imaging technique to the care of the newborn are presented.

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Mesh:

Year:  1987        PMID: 3568562     DOI: 10.1088/0143-0815/8/4a/017

Source DB:  PubMed          Journal:  Clin Phys Physiol Meas        ISSN: 0143-0815


  8 in total

Review 1.  Electrical impedance tomography (EIT) of brain function.

Authors:  D S Holder
Journal:  Brain Topogr       Date:  1992       Impact factor: 3.020

2.  Electrical impedance tomography's correlation to lung volume is not influenced by anthropometric parameters.

Authors:  François Marquis; Nicolas Coulombe; Roberta Costa; Hervé Gagnon; Robert Guardo; Yoanna Skrobik
Journal:  J Clin Monit Comput       Date:  2006-05-11       Impact factor: 2.502

3.  Experimental acquisition system for impedance tomography with active electrode approach.

Authors:  B Rigaud; Y Shi; N Chauveau; J P Morucci
Journal:  Med Biol Eng Comput       Date:  1993-11       Impact factor: 2.602

4.  Electrode configurations for detection of intraventricular haemorrhage in the premature neonate.

Authors:  R J Sadleir; Te Tang
Journal:  Physiol Meas       Date:  2008-12-15       Impact factor: 2.833

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.  Continuous cerebral electrical impedance monitoring in sick preterm infants.

Authors:  P B Colditz; I A Valimaki; D Murphy; P Rolfe; A R Wilkinson
Journal:  Eur J Pediatr       Date:  1990-03       Impact factor: 3.183

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

Review 8.  Bioelectrical Impedance Methods for Noninvasive Health Monitoring: A Review.

Authors:  Tushar Kanti Bera
Journal:  J Med Eng       Date:  2014-06-17
  8 in total

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