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Volumn 224, Issue 1, 2010, Pages

Measurement of lung function using Electrical Impedance Tomography (EIT) during mechanical ventilation

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; DIAGNOSIS; ELECTRIC IMPEDANCE MEASUREMENT; ELECTRIC IMPEDANCE TOMOGRAPHY; MEDICAL APPLICATIONS; TOMOGRAPHY; VENTILATION;

EID: 77954678532     PISSN: 17426588     EISSN: 17426596     Source Type: Conference Proceeding    
DOI: 10.1088/1742-6596/224/1/012029     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 2
    • 67650979230 scopus 로고    scopus 로고
    • Lung volume calculated from electrical impedance tomography in ICU patients at different PEEP levels
    • Bikker I G, Leonhardt S, Bakker J and Gommers D 2009 Lung volume calculated from electrical impedance tomography in ICU patients at different PEEP levels Intensive Care Med. 35 (8) 1362-1367
    • (2009) Intensive Care Med. , vol.35 , Issue.8 , pp. 1362-1367
    • Bikker, I.G.1    Leonhardt, S.2    Bakker, J.3    Gommers, D.4
  • 4
    • 73949116537 scopus 로고    scopus 로고
    • Evaluation of an electrical impedance tomography-based Global Inhomogeneity Index for pulmonary ventilation distribution
    • Zhao Z, Möller K, Steinmann D, Frerichs I and Guttmann J 2009 Evaluation of an electrical impedance tomography-based Global Inhomogeneity Index for pulmonary ventilation distribution Intensive Care Med. 35 (11) 1900-1906
    • (2009) Intensive Care Med. , vol.35 , Issue.11 , pp. 1900-1906
    • Zhao, Z.1    Möller, K.2    Steinmann, D.3    Frerichs, I.4    Guttmann, J.5
  • 7
    • 0031281343 scopus 로고    scopus 로고
    • Model for the dielectric properties of human lung tissue against frequency and air content
    • Nopp P, Harris N D, Zhao T X and Brown B H 1997 Model for the dielectric properties of human lung tissue against frequency and air content Med & Biol Eng Comp 35 695-702
    • (1997) Med & Biol Eng Comp , vol.35 , Issue.6 , pp. 695-702
    • Nopp, P.1    Harris, N.D.2    Zhao, T.X.3    Brown, B.H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.