Sampled-data filtering framework for cardiac motion recovery: Optimal estimation of continuous dynamics from discrete measurements

IEEE Transactions on Biomedical Engineering

Volumn 54, Issue 10, 2007, Pages 1750-1761

  Tong, Shan ^a   Shi, Pengcheng ^a,b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b SOUTHERN MEDICAL UNIVERSITY   (China)

Author keywords

Biomechanical model; Cardiac motion recovery; Continuous discrete Kalman filtering; Sampled data H filtering

Indexed keywords

FINITE DIFFERENCE METHOD; KALMAN FILTERS; NONINVASIVE MEDICAL PROCEDURES; RANDOM PROCESSES; SAMPLED DATA CONTROL SYSTEMS;

BIOMECHANICAL MODELS; CARDIAC MOTION RECOVERY; CONTINUOUS-DISCRETE KALMAN FILTERING; DEFORMATION FUNCTIONS;

CARDIOLOGY;

ACCURACY; ARTICLE; BIOMECHANICS; CONTRAST; DATA ANALYSIS; DOG; DYNAMICS; HEART CONTRACTION; HEART FUNCTION; HEART MOVEMENT; IMAGE ANALYSIS; KINEMATICS; MATHEMATICAL PARAMETERS; NOISE; NON INVASIVE MEASUREMENT; NONHUMAN; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE; POISSON DISTRIBUTION; QUANTITATIVE ANALYSIS; STATISTICS;

ANIMALS; DOGS; HEART; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MIDDLE AGED; MOVEMENT; MYOCARDIAL CONTRACTION; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 34548835471     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2007.895106     Document Type: Article

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