Some considerations on the IPFM model for the heart rate variability analysis

Computers in Cardiology

Volumn 30, Issue , 2003, Pages 709-712

  Meste, Olivier ^a,b   Blain, G ^a   Bermon, S ^a  

^a UNIVERSITÉ CÔTE D'AZUR   (France)

^b UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER SIMULATION; COSINE TRANSFORMS; DISEASES; ELECTROCARDIOGRAPHY; FUNCTIONS; MATHEMATICAL MODELS; PHYSIOLOGY; PLETHYSMOGRAPHY; RESPIRATORY SYSTEM;

HEART BEAT; HEART RATE VARIABILITY; RESPIRATION; RESPIRATORY SINUS ARRHYTMIA (RSA);

CARDIOVASCULAR SYSTEM;

EID: 4143077175     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/cic.2003.1291254     Document Type: Conference Paper

References (5)

1. Mateo J, Laguna P. Improved heart rate variability signal analysis from the beat occurence times according to the ipfm model. IEEE Trans Biomed Eng 2000;47(8):985-996.
2. Brennan M, Malaniswami M, Kamen P. Distortion properties of the interval spectrum of ipfm generated heartbeats for the heart rate variability analysis. IEEE Trans Biomed Eng 2001; 48(11):1251-1264.
3. Meste O, Blain G, Bermon S. Analysis of the respiratory and cardiac systems coupling in pyramidal exercise using a time-varying model. In 29th annual conference on Computers in Cardiology. Memphis, USA, September 2002;.
4. Suder K, Drepper FR, Schick M, Abel HH. One-dimensional, nonlinear determinism characterizes heart rate pattern during paced respiration. Am J Physiol 1998;H1092-H1102.
5. Gothberg S, Parker TA, Griebel J, Abman SH, Kinsella JP. Lung volume recruitment in lambs during high-frequency oscillatory ventilation using respiratory inductive plethysmography. Pediatric Research 2001:49(1):38-44.