Radial basis function neural networks for the characterization of heart rate variability dynamics

Artificial Intelligence in Medicine

Volumn 15, Issue 3, 1999, Pages 215-234

  Bezerianos, A ^a   Papadimitriou, S ^a   Alexopoulos, D ^b  

^a UNIVERSITY OF PATRAS   (Greece)

^b UNIVERSITY HOSPITAL OF PATRAS   (Greece)

Author keywords

Autonomic nervous system; Heart rate; Heart rate variability; Neural network learning; Nonlinear dynamics; Nonlinear prediction

Indexed keywords

CARDIOLOGY; FUNCTIONS; NEURAL NETWORKS; NEUROPHYSIOLOGY;

HEART RATE VARIABILITY; RADIAL BASIS FUNCTION;

MEDICAL COMPUTING;

ACCURACY; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; BETA ADRENERGIC RECEPTOR BLOCKING; CHAOTIC DYNAMICS; CLINICAL ARTICLE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; ELECTROCARDIOGRAM; ELECTROCARDIOGRAPHY MONITORING; HEART RATE VARIABILITY; HUMAN; MATHEMATICAL ANALYSIS; PREDICTION; PRIORITY JOURNAL; REPRODUCIBILITY; SIGNAL DETECTION; VALIDATION PROCESS;

ATROPINE; AUTONOMIC NERVOUS SYSTEM DISEASES; DIABETES COMPLICATIONS; DIABETES MELLITUS; ELECTROCARDIOGRAPHY; HEART RATE; HUMANS; NEURAL NETWORKS (COMPUTER); PARASYMPATHOLYTICS; PROPRANOLOL; SYMPATHOLYTICS;

EID: 0033104431     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(98)00055-4     Document Type: Article

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