Analysis of the respiratory and cardiac systems coupling in pyramidal exercise using a time-varying model

Computers in Cardiology

Volumn 29, Issue , 2002, Pages 429-432

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

^a UNIVERSITÉ CÔTE D'AZUR   (France)

^b CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FIR FILTERS; FOURIER TRANSFORMS; MAXIMUM LIKELIHOOD ESTIMATION; RESPIRATORY SYSTEM; SIGNAL FILTERING AND PREDICTION; SPECTRUM ANALYSIS; TIME VARYING SYSTEMS;

HEART RATE VARIABILITY (HRV);

CARDIOVASCULAR SYSTEM;

EID: 0036950832     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. Mainardi L, Blanchi A, Baselli G, Cerutti S. Pole-tracking algorithms for the extraction of time-variant heart rate variability spectral parameters. IEEE Trans Biomed Eng 1995;42(3):250-259.
2. 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.
3. Meste O, Blain G, Bermons S. Analysis of non-stationary signal using frequency tracking and time-variant filtering. I3S/RR 2002-39-FR, Lab I3S, 2002.
4. Strobach P. The recursive companion matrix root tracker. IEEE Trans Signal Processing 1997;45(8):1931-1942.
5. Cammann H, Michel J. How to avoid misinterpretation of heart rate variability power spectra ? Computer Methods and Programs in Biomedicine 2002;68:15-23.