Complexity and spectral analysis of the heart rate variability dynamics for distant prediction of paroxysmal atrial fibrillation with artificial intelligence methods

Artificial Intelligence in Medicine

Volumn 43, Issue 2, 2008, Pages 151-165

  Chesnokov, Yuriy V ^a  

^a KUBAN STATE UNIVERSITY   (Russian Federation)

Author keywords

Artificial neural networks; Complexity; Heart rate variability; Paroxysmal atrial fibrillation; Prediction; Support vector machines

Indexed keywords

HEART RATE VARIABILITY; PAROXYSMAL ATRIAL FIBRILLATION; POSITIVE PREDICTIVITY (PP);

COMPUTATIONAL COMPLEXITY; MATHEMATICAL MODELS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

BIOMEDICAL ENGINEERING;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; HEART ATRIUM FIBRILLATION; HEART RATE VARIABILITY; MATHEMATICAL COMPUTING; PAROXYSMAL HEART ATRIUM FIBRILLATION; PRIORITY JOURNAL; PROGNOSIS; SPECTROSCOPY; SUPPORT VECTOR MACHINE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ATRIAL FIBRILLATION; DATABASES, FACTUAL; ELECTROCARDIOGRAPHY; HEART RATE; HUMANS; PATTERN RECOGNITION, AUTOMATED; PREDICTIVE VALUE OF TESTS; PRINCIPAL COMPONENT ANALYSIS; PROGNOSIS; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; TIME FACTORS;

EID: 44349119093     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artmed.2008.03.009     Document Type: Article

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