Literature DB >> 21152370

On the Measurement of Electrical Impedance Spectroscopy (EIS) of the Human Head.

Giorgio Bonmassar1, Sunao Iwaki, Gregory Goldmakher, Leonardo M Angelone, John W Belliveau, Michael H Lev.   

Abstract

We are introducing a system for Electrical Impedance Spectroscopy (EIS) measurements for future use in Neurological Intensive Care Unit (NICU) settings. The system consists mostly of commercially available components and the software was developed in Labview (National Instruments). The system is based on the principle that acute hemorrhagic stroke may produce detectable changes in the impedance spectrum measured on the subject's scalp due to parenchimal local increases of blood volume. EIS measurements were performed on four healthy control subjects to establish a baseline for a real time stroke detector. Measurements were performed using white noise currents in the 0-50 kHz frequency band using ten shielded electrodes placed on a subject's scalp, with electrical potentials measured with a large-dynamic range for increased EIS accuracy. EIS measurements yielded highly symmetrical impedance spectra, which was only obtainable using the proposed continuos spectral electrical impedance estimation.

Entities:  

Year:  2010        PMID: 21152370      PMCID: PMC2997709     

Source DB:  PubMed          Journal:  Int J Bioelectromagn        ISSN: 1456-7857


  31 in total

Review 1.  Mechanisms, challenges and opportunities in stroke.

Authors:  Eng H Lo; Turgay Dalkara; Michael A Moskowitz
Journal:  Nat Rev Neurosci       Date:  2003-05       Impact factor: 34.870

2.  Electrical impedance tomography of cell viability in tissue with application to cryosurgery.

Authors:  Rafael Davalos; Boris Rubinsky
Journal:  J Biomech Eng       Date:  2004-04       Impact factor: 2.097

3.  The shape of electrical impedance spectroscopy (EIS) is altered in stroke patients.

Authors:  Giorgio Bonmassar; Sunao Iwaki
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2004

4.  Modeled current distribution inside the normal and malignant human urothelium using finite element analysis.

Authors:  Ahmad Keshtkar; Asghar Keshtkar
Journal:  IEEE Trans Biomed Eng       Date:  2008-02       Impact factor: 4.538

5.  Adaptive mesh refinement techniques for 3-D skin electrode modeling.

Authors:  Bartosz Sawicki; Michal Okoniewski
Journal:  IEEE Trans Biomed Eng       Date:  2009-09-29       Impact factor: 4.538

6.  Frequency-domain reconstruction of signals in electrical bioimpedance spectroscopy.

Authors:  Aleksander S Paterno; Rodrigo A Stiz; Pedro Bertemes-Filho
Journal:  Med Biol Eng Comput       Date:  2009-10       Impact factor: 2.602

7.  The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues.

Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

8.  A 3D electrical impedance tomography (EIT) system for breast cancer detection.

Authors:  V Cherepenin; A Karpov; A Korjenevsky; V Kornienko; A Mazaletskaya; D Mazourov; D Meister
Journal:  Physiol Meas       Date:  2001-02       Impact factor: 2.833

9.  Scales of reaction to electric shock. Thresholds and biophysical mechanisms.

Authors:  J P Reilly
Journal:  Ann N Y Acad Sci       Date:  1994-05-31       Impact factor: 5.691

10.  Methods for compensating for variable electrode contact in EIT.

Authors:  Gregory Boverman; David Isaacson; Gary J Saulnier; Jonathan C Newell
Journal:  IEEE Trans Biomed Eng       Date:  2009-07-21       Impact factor: 4.538

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  12 in total

Review 1.  Noninvasive Neuromonitoring: Current Utility in Subarachnoid Hemorrhage, Traumatic Brain Injury, and Stroke.

Authors:  Luisa Vinciguerra; Julian Bösel
Journal:  Neurocrit Care       Date:  2017-08       Impact factor: 3.210

2.  Intracranial hemorrhage alters scalp potential distribution in bioimpedance cerebral monitoring: Preliminary results from FEM simulation on a realistic head model and human subjects.

Authors:  Seyed Reza Atefi; Fernando Seoane; Shervin Kamalian; Eric S Rosenthal; Michael H Lev; Giorgio Bonmassar
Journal:  Med Phys       Date:  2016-02       Impact factor: 4.071

3.  Magnetic inductive phase shift: a new method to differentiate hemorrhagic stroke from ischemic stroke on rabbit.

Authors:  Qingguang Yan; Gui Jin; Ke Ma; Mingxin Qin; Wei Zhuang; Jian Sun
Journal:  Biomed Eng Online       Date:  2017-05-30       Impact factor: 2.819

4.  Understanding the Pathological Basis of Neurological Diseases Through Diagnostic Platforms Based on Innovations in Biomedical Engineering: New Concepts and Theranostics Perspectives.

Authors:  Laura Ganau; Lara Prisco; Gianfranco K I Ligarotti; Rossano Ambu; Mario Ganau
Journal:  Medicines (Basel)       Date:  2018-02-25

5.  Improved Sensing Pulses for Increased Human Head Depth Measurement Sensitivity With Electrical Impedance Spectroscopy.

Authors:  Giorgio Bonmassar; Michael H Lev
Journal:  IEEE Trans Biomed Eng       Date:  2013-09-10       Impact factor: 4.538

6.  PTFOS: flexible and absorbable intracranial electrodes for magnetic resonance imaging.

Authors:  Giorgio Bonmassar; Kyoko Fujimoto; Alexandra J Golby
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

7.  Stroke damage detection using classification trees on electrical bioimpedance cerebral spectroscopy measurements.

Authors:  Seyed Reza Atefi; Fernando Seoane; Thorleif Thorlin; Kaj Lindecrantz
Journal:  Sensors (Basel)       Date:  2013-08-07       Impact factor: 3.576

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.  Brain haemorrhage detection using a SVM classifier with electrical impedance tomography measurement frames.

Authors:  Barry McDermott; Martin O'Halloran; Emily Porter; Adam Santorelli
Journal:  PLoS One       Date:  2018-07-12       Impact factor: 3.240

Review 10.  A scoping review of pre-hospital technology to assist ambulance personnel with patient diagnosis or stratification during the emergency assessment of suspected stroke.

Authors:  Hannah A Lumley; Darren Flynn; Lisa Shaw; Graham McClelland; Gary A Ford; Phil M White; Christopher I Price
Journal:  BMC Emerg Med       Date:  2020-04-26
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