Adaptive SLICE method: An enhanced method to determine nonlinear dynamic respiratory system mechanics

Physiological Measurement

Volumn 33, Issue 1, 2012, Pages 51-64

  Zhao, Zhanqi ^a   Guttmann, Josef ^b   Möller, Knut ^a  

^a FURTWANGEN UNIVERSITY   (Germany)

^b UNIVERSITY OF FREIBURG   (Germany)

Author keywords

confidence interval; nonlinear; respiratory system mechanics; the SLICE method; tidal volume

Indexed keywords

DYNAMICS; LEAST SQUARES APPROXIMATIONS; NONLINEAR ANALYSIS; RESPIRATORY SYSTEM; SIGNAL TO NOISE RATIO; STRUCTURAL DYNAMICS;

CONFIDENCE INTERVAL; DYNAMIC COMPLIANCE; DYNAMIC RESISTANCE; LEAST-SQUARE FIT METHOD; NONLINEAR; PARAMETERS ESTIMATION; RESPIRATORY SYSTEM MECHANIC; THE SLICE METHOD; TIDAL VOLUME; WINDOW WIDTH;

PARAMETER ESTIMATION;

EID: 84255193334     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/33/1/51     Document Type: Article

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