Data-driven classification of ventilated lung tissues using electrical impedance tomography

Physiological Measurement

Volumn 32, Issue 7, 2011, Pages 903-915

  Gómez Laberge, Camille ^a   Hogan, Matthew J ^a   Elke, Gunnar ^b   Weiler, Norbert ^c   Frerichs, Inéz ^c   Adler, Andy ^d  

^a HARVARD MEDICAL SCHOOL   (United States)

^b OTTAWA HOSPITAL RESEARCH INSTITUTE   (Canada)

^c UNIVERSITY HOSPITAL SCHLESWIG HOLSTEIN   (Germany)

^d CARLETON UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; CLASSIFICATION (OF INFORMATION); ELECTRIC IMPEDANCE; ELECTRIC IMPEDANCE MEASUREMENT; ELECTRIC IMPEDANCE TOMOGRAPHY; PIXELS; TISSUE;

'CURRENT; DATA DRIVEN; ELECTRICAL IMPE DANCE TOMOGRAPHY (EIT); INTEREST REGIONS; LUNG REGIONS; LUNG TISSUE; POSITIVE END EXPIRATORY PRESSURES; REGION-OF-INTEREST; REGIONS OF INTEREST; TIDAL VOLUME;

RESPIRATORY SYSTEM;

SUIDAE;

EID: 79958803148     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/32/7/S13     Document Type: Conference Paper

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