Invariant trajectory classification of dynamical systems with a case study on ECG

Pattern Recognition

Volumn 42, Issue 9, 2009, Pages 1832-1844

  Noponen, Kai ^a   Kortelainen, Jukka ^a   Seppänen, Tapio ^a  

^a UNIVERSITY OF OULU   (Finland)

Author keywords

Eigenvalues and eigenfunctions; Electrocardiography; Group theory; Least squares methods; Multidimensional signal processing; Nonlinear systems; Pattern recognition; Shape

Indexed keywords

ACUTE MYOCARDIAL INFARCTION; BODY POSITION CHANGE; EXTERNAL INFLUENCES; GROUP THEORY; INDIVIDUAL DIFFERENCES; INVARIANT PATTERN RECOGNITION; LEAST SQUARES METHODS; MEASURED DATA; MORPHOLOGICAL CHANGES; MULTIDIMENSIONAL SIGNAL PROCESSING; PHASE SPACE TRAJECTORY; PHASE SPACES; SHAPE; STATISTICAL SHAPES; TRAJECTORY CLASSIFICATION; TRANSFORMATION GROUP;

ALGEBRA; COMPUTATIONAL COMPLEXITY; CURVE FITTING; DYNAMICAL SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; ELECTROCARDIOGRAPHY; LEAST SQUARES APPROXIMATIONS; NONLINEAR DYNAMICAL SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL DETECTION; SIGNAL PROCESSING; SPACE FLIGHT;

PATTERN RECOGNITION SYSTEMS;

EID: 67349248705     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2008.12.008     Document Type: Article

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