A characterization of HRV's nonlinear hidden dynamics by means of Markov models

IEEE Transactions on Biomedical Engineering

Volumn 46, Issue 8, 1999, Pages 978-986

  Silipo, Rosaria ^a,c   Deco, Gustavo ^a   Vergassola, Rossano ^b   Gremigni, Celio ^b  

^a INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

^b SIEMENS AG   (Germany)

^c SANTA MARIA ANNUNZIATA HOSPITAL   (Italy)

Author keywords

Heart rate variability; Hidden dynamic; Information flow; Markov models; Nonlinear analysis

Indexed keywords

DISEASES; ELECTROCARDIOGRAPHY; MARKOV PROCESSES; MATHEMATICAL MODELS; NEUROLOGY;

HEART RATE VARIABILITY; HIDDEN DYNAMICS; INFORMATION FLOW; MARKOV MODELS; NONLINEAR ANALYSIS;

CARDIOVASCULAR SYSTEM;

AGED; ARTICLE; AUTONOMIC NERVOUS SYSTEM; CIRCADIAN RHYTHM; CLINICAL ARTICLE; DISEASE ASSOCIATION; ELECTROCARDIOGRAM; FEMALE; HEART INFARCTION; HEART RATE VARIABILITY; HEART VENTRICLE TACHYCARDIA; HUMAN; HYPERTENSION; MALE; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; NONLINEAR SYSTEM; R WAVE;

AGED; ALGORITHMS; ANGINA PECTORIS; CIRCADIAN RHYTHM; DATA INTERPRETATION, STATISTICAL; ELECTROCARDIOGRAPHY; ELECTROCARDIOGRAPHY, AMBULATORY; EXERCISE TEST; FEMALE; FOURIER ANALYSIS; HEART RATE; HUMANS; MALE; MARKOV CHAINS; MIDDLE AGED; MODELS, CARDIOVASCULAR; MYOCARDIAL ISCHEMIA; NONLINEAR DYNAMICS; RISK FACTORS; TACHYCARDIA, VENTRICULAR; TIME FACTORS;

EID: 0032868608     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.775408     Document Type: Article

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