Bivariate spectral analysis of nonstationary cardiovascular variability series through Cross Wigner Distribution

Computers in Cardiology

Volumn 0, Issue 0, 1996, Pages 81-84

  Pola, S ^a   Varanini, M ^b   Macerata, A ^c   Emdin, M ^b   Cipriani, M ^d   Marchesi, C ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

^b CNR   (Italy)

^c UNIVERSITY OF PISA   (Italy)

^d Ospedali Riuniti S M Nuova   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERING; ALGORITHMS; CARDIOLOGY; CARDIOVASCULAR SYSTEM; NONINVASIVE MEDICAL PROCEDURES; PARAMETER ESTIMATION; RELIABILITY; TIME SERIES ANALYSIS;

BIVARIATE SPECTRAL ANALYSIS; CROSS WIGNER DISTRIBUTION; WIGNER DISTRIBUTION; WIGNER-VILLE DISTRIBUTION;

SPECTRUM ANALYSIS;

EID: 0030400491     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (10)

1. M. Appel, R. Berger, J. Saul et al. Beat to beat variability in cardiovascular variables: Noise or music? J. Am. Coll. Cardiol. 1989; vol. 14: 1139-1147.
2. S. Pola, A. Macerata, M. Emdin, C. Marchesi. Estimation of the Power Spectral Density in non stationary cardiovascular time-series: assessing the role of Time Frequency Representation (TFR)". IEEE Trans. Biomed. Eng., vol. 43, no. 1, Jan. 1996, pp. 46-59.
3. M. Emdin, A. Macerata, M. Varanini, S. Pola, et al. Characterization of the cardiovascular autonomic influence through time frequency spectrum analysis. Proc. Computers in Cardiology 1992, Durham: 319-322.
4. G. Baselli, S. Cerutti, et al., "Cardiovascular Variability Signals: Towards the Identification of a Closed-Loop Model of the Neural Control Mechanism", IEEE Trans. Biomed. Engin., vol. 35, no. 12, Dec. 1988, p. 1033-1045.
5. L. Cohen. Time-frequency distribution. A review. Proc. IEEE 1989; vol. 77, no. 7: 941-981.
6. F. Hlawatsch, G. F. Bouclreaux-Bartels. Linear and quadratic Time-Frequency signal representations. IEEE SP Magazine 1992; April: 21-67.
7. T. Claasen, W. Mecklenbräuker, ̈The Wigner distribution: a tool for time frequency signal analysis.̈, Philips J. Res., vol. 35, p. 217-250, 276-300, 1980.
8. M. Varanini, M. Emdin, et al., Adaptive filtering for cancelling/enhancing the respiratory contribution to cardiovascular signals. J. Ambul. Monitoring, vol. 5, no. 2&3, Apr.-Sept. 1992, pp 95-106.
9. M. Varanini, S. Pola, M. Emdin, et al., Effectiveness of adaptive filtering in canceling the respiratory component from cardiovascular series, Proc. Computers in Cardiology 1996, Indianapolis, in Press.
10. G. Kraft, M. Raciti, et al., Ambulatory recording of respiration. Preliminary experience with a piezoelectric transducer. J. Ambul. Monitoring, vol. 5, no. 2&3, Apr.-Sept. 1992, pp 79-86.