Estimation of three- and four-element windkessel parameters using subspace model identification

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 7, 2010, Pages 1531-1538

  Kind, Taco ^a   Faes, Theo J C ^a   Lankhaar, Jan Willem ^b   Vonk Noordegraaf, Anton ^a   Verhaegen, Michel ^c  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^b Involvation   (Netherlands)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Arterial compliance; arterial inertance; peripheral resistance; proximal arterial characteristic impedance; subspace model identification (SMI); windkessel model

Indexed keywords

ABERRATIONS; COMPUTER SIMULATION; ITERATIVE METHODS; PARAMETER ESTIMATION; RANDOM ERRORS; SIGNAL TO NOISE RATIO; SYSTEMATIC ERRORS;

ARTERIAL COMPLIANCE; CHARACTERISTIC IMPEDANCE; CLOSED-LOOP; FOUR-ELEMENT MODEL; IDENTIFIABILITY; NOISE LEVELS; NON-ITERATIVE; PARAMETER ESTIMATE; PHYSICAL PARAMETERS; ROBUST METHODS; SIMULATION DATA; SIMULATION RESULT; SUBSPACE MODEL IDENTIFICATIONS; SYSTEMIC CIRCULATION; WINDKESSEL; WINDKESSEL MODELS;

PHYSIOLOGICAL MODELS;

ACCURACY; ALGORITHM; ARTICLE; CARDIOVASCULAR SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MEASUREMENT ERROR; SIGNAL NOISE RATIO; SIMULATION; SYSTEMIC CIRCULATION; AORTA; BIOLOGICAL MODEL; BLOOD PRESSURE; COMPUTER SIMULATION; HUMAN; PHYSIOLOGY; REPRODUCIBILITY; SIGNAL PROCESSING;

ALGORITHMS; AORTA; BLOOD PRESSURE; COMPUTER SIMULATION; HUMANS; MODELS, CARDIOVASCULAR; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 77953740812     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2041351     Document Type: Article

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