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Recognition of lung volume condition based on phase space mapping using electrical impedance tomography Cover

Recognition of lung volume condition based on phase space mapping using electrical impedance tomography

Open Access
|Aug 2019

References

  1. Kimura T, Kawakami T, Kikuchi A, Ooev R, Akiyama M,Horikoshi H. A Study on diagnostic assist systems of chronicobstructive pulmonary disease from medical images by deeplearning. J Comput Comm. 2018;6,21-31.https://doi.org/10.4236/jcc.2018.61003.">https://doi.org/10.4236/jcc.2018.61003
  2. Barnes KC. Genetic studies of the etiology of asthma. Proc AmThorac Soc. 2011;8(2): 143–148.https://dx.doi.org/10.1513%2Fpats.201103-030MS
  3. Kiley J, Smith R, Noel P. Asthma phenotypes. Curr Opin PulmMed. 2007;13(1):19-23.https://doi.org/10.1097/MCP.0b013e328011b84b.">https://doi.org/10.1097/MCP.0b013e328011b84b
  4. Anderson B, Brown H, Bruhl E, Bryant K, Burres H, Conner K,et al Diagnosis and management of chronic obstructivepulmonary disease (COPD). Institute for Clinical SystemsImprovement. 10th edition; 2017.
  5. Kim V, Criner GJ. Chronic Bronchotis and chronic obstructivePulmonary Disease. Am J Respir Crit Care Med. 2013;187(3):228–237.
  6. Richard T. Ellison III, Gerald R. Donowitz. Acute pneumonia.8th ed. Philadelphia, PA: J Microb, Immunol Infect. 2015.
  7. Sekulich M. What is tuberculosis? Elsevier. Mark C, editor;1994,104. https://doi.org/10.1016/C2013-0-06740-0.">https://doi.org/10.1016/C2013-0-06740-0
  8. Chima A. Osuoha, Karen E. Callahan, Carmen P. Ponce, PauloS. Pinheiro. Disparities in lung cancer survival and receipt ofsurgical treatment. Lung Cancer. 2018;122,54–5.https://doi.org/10.1016/j.lungcan.2018.05.022">https://doi.org/10.1016/j.lungcan.2018.05.022
  9. Gonzalez G, Huttunen J, Kolehmainen V, Seppänen A,Vauhkonen, M. Experimental evaluation of 3D electricalimpedance tomography with total variation prior. InverseProblems in Science and Engineering. 2016;24(8):1411–1431.https://doi.org/10.1080/17415977.2015.1113961.">https://doi.org/10.1080/17415977.2015.1113961
  10. Teschner E, Imhoff M, Leonhardt S.Electrical ImpedanceTomography: the realization of regional ventilationmonitoring, 2nd edition; 2015.8-152.
  11. Camporota L, Smith J, Barrett N, Beale R. Assessment ofregional lung mechanics with electrical impedancetomography can determine the requirement for ECMO inpatients with severe ARDS. Intensive Care Med.2012;38(12):2086-7.https://doi.org/10.1007/s00134-012-2701-2.">https://doi.org/10.1007/s00134-012-2701-2
  12. Ross AS, Saulnier GJ, Newell JC, Isaacson D. ElectricalImpedance Tomography. Journal of Physics: ConferenceSeries 2001;18(6): 31-43.https://doi.org/10.1109/79.962276.">https://doi.org/10.1109/79.962276
  13. Frerichs I. Electrical Impedance Tomography (EIT) inapplications related to lung and ventilation: a review ofexperimental and clinical activities, Physiol Meas.2000;21(2):R1-21.https://doi.org/10.1088/0967-3334/21/2/201.">https://doi.org/10.1088/0967-3334/21/2/201
  14. Cheney M, Isaacson D, Newell JC. Electrical ImpedanceTomography. Society for Industrial and Applied MathematicsPhiladelphia, PA, USA. SIAM Review 1999;41:85-101.https://doi.org/10.1137/S0036144598333613.">https://doi.org/10.1137/S0036144598333613
  15. Victorino JA, Borges JB, Okamoto VN, Matos GF, Tucci MR, etal Imbalances in regional lung ventilation: A validation studyon electrical impedance tomography. Am J Respir Crit CareMed. 2004;169(7):791-800.https://doi.org/10.1164/rccm.200301-133OC.">https://doi.org/10.1164/rccm.200301-133OC
  16. Gattinoni L, D’Andrea L, Pelosi P, Vitale G, Pesenti A,Fumagalli R. Regional effects and mechanism of positive end-expiratory pressure in early adult respiratory distresssyndrome. JAMA. 1993;269-2122-2127.https://doi.org/10.1001/jama.1993.03500160092039">https://doi.org/10.1001/jama.1993.03500160092039
  17. Neumann P, Berglund JE, Andersson LG, Maripu E,Magnusson A, Hedenstierna G. Effects of inverse ratioventilation and positive end expiratory pressure in oleic acid-induced lung injury. Am J Respir Crit Care Med. 2000;161:1537–1545.https://doi.org/10.1164/ajrccm.161.5.9906060s">https://doi.org/10.1164/ajrccm.161.5.9906060s
  18. Neumann P, Berglund JE, Mondejar EF, Magnusson A,Hedenstierna G. Effect of different pressure levels on thedynamics of lung collapse and recruitment in oleic-acid-induced lung injury. Am J Respir Crit Care Med. 1998;158:1636–1643.https://doi.org/10.1164/ajrccm.158.5.9711095">https://doi.org/10.1164/ajrccm.158.5.9711095
  19. Aristovich KY, Packham BC, Koo H, Sato dos Santos G, McEvoy A, Holder DS. Imaging fast electrical activity in the brain withelectrical impedance tomography. NeuroImage. 2016;124:204–213.https://doi.org/10.1016/j.neuroimage.2015.08.071">https://doi.org/10.1016/j.neuroimage.2015.08.071
  20. Menden T , Orschulik J. Signal analysis of 2-belt EITmeasurement patterns, 21st International StudentConference on Electrical Engineering; 2017. Online:http://poseidon2.feld.cvut.cz/conf/poster/proceedings/ Poster_2017/Section_EI/EI_036_Menden.pdf
  21. Chitturi V, Nagi F. Spatial resolution in electrical impedancetomography: A topical review. J Electr Bioimp. 2017;66-78.10.5617/jeb.3350">http://dx.doi.org/10.5617/jeb.3350
  22. Hannan S, Faulkner M, Aristovich K, Avery J, Walker M,Holder D. Imaging fast electrical activity in the brain duringictal epileptiform discharges with electrical impedancetomography. NeuroImage. 2018; 20:674-684.https://doi.org/10.1016/j.nicl.2018.09.004">https://doi.org/10.1016/j.nicl.2018.09.004
  23. Moridani MK, Setarehdan SK, Nasrabadi AM, Hajinasrollah E.New algorithm of mortality risk prediction for cardiovascularpatients admitted in intensive care unit. Int J Clin Exp Med.2015;8(6):8916-8926.
  24. Moridani MK, Setarehdan SK, Nasrabadi AM, Hajinasrollah E.Non-linear feature extraction from HRV signal for mortalityprediction of ICU cardiovascular patient. J Med Eng Technol.2016;40(3):87-98.https://doi.org/10.3109/03091902.2016.1139201">https://doi.org/10.3109/03091902.2016.1139201
  25. Moridani MK, Kia M, Choopani F. Development of computer-aided system to evaluate the lung efficiency using electricalimpedance tomography. 3rd International Conference onElectrical Engineering, Kharazmi University, Tehran, Iran;2018.
Language: English
Page range: 34 - 39
Submitted on: Dec 2, 2018
Published on: Aug 20, 2019
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2019 Mohammad Karimi Moridani, Fatemeh Choopani, Mandana Kia, published by University of Oslo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.