A nonlinear signal processing approach to model heart rate variability

Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2004

Volumn , Issue , 2004, Pages 64-67

  Dabanloo, N Jafarnia ^a,b   McLernon, D C ^b   Ayatollahi, A ^a   Majd, V Johari ^c  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b UNIVERSITY OF LEEDS   (United Kingdom)

^c TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Dynamical systems; Heart rate variability; Nonlinear signal processing

Indexed keywords

BRAIN; CARDIOVASCULAR SYSTEM; COMPUTER SIMULATION; DIFFERENTIAL EQUATIONS; EIGENVALUES AND EIGENFUNCTIONS; MATHEMATICAL MODELS; MUSCLE; NONLINEAR CONTROL SYSTEMS; SIGNAL PROCESSING; SPECTRUM ANALYZERS; TACHOMETERS;

BARORECEPTORS; CENTROGENIC RHYTHM; DYNAMICAL SYSTEMS; HEART RATE VARIABILITY; INTEGRAL PULSE FREQUENCY MODULATION (IPFM) MODEL; NONLINEAR SIGNAL PROCESSING; RESPIRATION SINUS ARRHYTHMIA (RSA); VASCULAR SMOOTH MUSCLES; ZEEMAN EQUATIONS;

ELECTROCARDIOGRAPHY;

EID: 21544451703     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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