A robust method for detection of linear and nonlinear interactions: Application to renal blood flow dynamics

Annals of Biomedical Engineering

Volumn 34, Issue 2, 2006, Pages 339-353

  Feng, Lei ^a   Siu, Kin ^a   Moore, Leon C ^a   Marsh, Donald J ^b   Chon, Ki H ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b BROWN UNIVERSITY   (United States)

Author keywords

Bispectrum; Expectation maximization; Myogenic; Nonlinear interactions; Radial basis function; Time varying; Time phase bispectrum; Tubuloglomerular feedback

Indexed keywords

BISPECTRUM; EXPECTATION- MAXIMIZATION; MYOGENIC; NONLINEAR INTERACTIONS; RADIAL BASIS FUNCTION; TIME VARYING; TIME-PHASE BISPECTRUM; TUBULOGLOMERULAR FEEDBACK;

ALGORITHMS; DYNAMICS; FLOW OF FLUIDS; MATHEMATICAL MODELS; ROBUSTNESS (CONTROL SYSTEMS);

BLOOD;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BLOOD FLOW VELOCITY; BLOOD PRESSURE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FEEDBACK SYSTEM; FOURIER ANALYSIS; KIDNEY; KIDNEY CIRCULATION; MALE; METHODOLOGY; NONLINEAR SYSTEM; PHYSIOLOGY; PULSATILE FLOW; RAT; SPRAGUE DAWLEY RAT; STATISTICAL MODEL; VASCULARIZATION;

ALGORITHMS; ANIMALS; BLOOD FLOW VELOCITY; BLOOD PRESSURE; COMPUTER SIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; FEEDBACK; FOURIER ANALYSIS; KIDNEY; LINEAR MODELS; MALE; MODELS, BIOLOGICAL; NONLINEAR DYNAMICS; PULSATILE FLOW; RATS; RATS, SPRAGUE-DAWLEY; RENAL CIRCULATION;

EID: 33645521404     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-005-9041-0     Document Type: Article

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