Real-time spectral analysis of HRV signals: An interactive and user- friendly PC system

Computer Methods and Programs in Biomedicine

Volumn 55, Issue 1, 1998, Pages 69-76

  Basano, Lorenzo ^a   Canepa, Fabio ^a   Ottonello, Pasquale ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Biomedical computing; Heart rate variability; PC based analyzer; Real time spectrum evaluation

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; COMPUTER OPERATING SYSTEMS; DATA ACQUISITION; FAST FOURIER TRANSFORMS; INTERACTIVE COMPUTER SYSTEMS; MATHEMATICAL MODELS; MEDICAL COMPUTING; PERSONAL COMPUTERS; REGRESSION ANALYSIS; SPECTRUM ANALYSIS; USER INTERFACES;

AUTOREGRESSIVE MODELS; HEART RATE VARIABILITY (HRV) SIGNALS; REAL TIME SPECTRUM ANALYSIS;

REAL TIME SYSTEMS;

ARTICLE; BIOMEDICINE; COMPUTER SYSTEM; HEART RATE VARIABILITY; SPECTROSCOPY; TIME;

CALIBRATION; FOURIER ANALYSIS; HEART RATE; MICROCOMPUTERS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE; USER-COMPUTER INTERFACE;

EID: 0031888319     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-2607(97)00051-5     Document Type: Article

References (9)

1. Fan L., Evans D.H. Differences in the power structures of Fourier transform and autoregressive spectral estimates of narrow-band doppler signals. IEEE Trans. Biomed. Eng. 41:1994;387-390.
2. F.A. Lee, A. Nehorai, Adaptive power spectrum estimation algorithm for heart rate variability analysis, Comput. Cardiol., IEEE Computer Society Press, Los Aldmitos, 1992, pp. 273-276.
3. Basano L., Ottonello P., Poggi A., Adezati L., Semino S., Ubaldi P., Viviani G.L. An instrument for real-time spectral estimation of heart rate variability signals. Comput. Methods Programs Biomed. 47:1995;229-236.
4. Swingler D.N., Walker R.S. Linear-predictive data extrapolation for narrow-band spectral estimation. Proc. IEEE. 76:1988;1249-1251.
5. Makhoul J. Linear prediction: a tutorial review. Proc. IEEE. 63:1975;561-580.
6. S.L. Marple Jr., Digital Spectral Analysis with Applications, Prentice-Hall, Englewood Cliffs, NJ, 1987, pp. 198-201.
7. Cadzow J.A. Spectral estimation: an overdetermined rational model equation approach. Proc. IEEE. 70:1982;907-939.
8. Pinna G.D., Maestri R., Di Cesare A. Application of time series spectral analysis theory: analysis of cardiovascular variability signals. Med. Biol. Eng. Comput. 34:1996;142-148.
9. G. Orsi, G. Pinna, Effect of record length on the power spectral density estimation, in: S. Cerutti, G. Minuco (Eds.), Spectral Analysis of Heart Rate Variability Signal, La Goliardica Pavese Pavia, Italy, 1991, pp. 45-58.