Estimation of slowly changing components of physiological signals

IEEE Transactions on Biomedical Engineering

Volumn 44, Issue 3, 1997, Pages 215-220

  Raifel, M ^a   Ron, S ^a  

^a LOEWENSTEIN REHABILITATION HOSPITAL   (Israel)

Author keywords

Baseline; drift; ECG

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; ELECTROCARDIOGRAPHY; ESTIMATION; PERFORMANCE; POLYNOMIALS; SIGNAL DETECTION;

PHYSIOLOGICAL SIGNALS; SLOWLY CHANGING COMPONENTS; ZERO CROSSING DENSITY;

PHYSIOLOGY;

ARTICLE; BIOMEDICAL ENGINEERING; CALCULATION; ELECTROCARDIOGRAM; SIGNAL PROCESSING; TECHNIQUE;

ALGORITHMS; ELECTROCARDIOGRAPHY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0031106699     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.554769     Document Type: Article

References (16)

1. R. K. Avent and J. D. Chariten, A critical review of trend-detection methodologies for biomedical monitoring systems, Crit. Rev. Biomed. Eng., vol. 17, pp. 621-659, 1990.
2. C. R. Meyer and H. N. Keiser, Electrocardiogram baseline estimation and removal using cubic splines and state-space computation techniques, Comput. Biomed. Res., vol. 10, pp. 459-470, 1977.
3. J. A. Van Alste and T. S. Schilder, Removal of baseline wander and power-line interference from the ECG by an efficient FIR filter with a reduced number of taps, IEEE Trans. Biomed. Eng., vol. BME-32, pp. 1052-1062, 1985.
4. P. Hsia, J. M. Jenkins, Y. Shimoni, K. P. Gage, J. T. Santinga and B. Pitt, An Automated system for ST segment and arrhythmia analysis in exercise radionuclide ventriculography, IEEE Trans. Biomed. Eng., vol. BME-33, pp. 585-593, 1986.
5. C. H. Chu and E. J. Delp, Impulsive noise suppression and background normalization of electrocardiogram signals using morphological operators, IEEE Trans. Biomed. Eng., vol. 36, pp. 262-273, 1989.
6. M. Arzi and M. Magnin, A fuzzy set theoretical approach to automatic analysis of nystagmic eye movements, IEEE Trans. Biomed. Eng., vol. 36, pp. 954-963, 1989.
7. S. A. Kassam and H. V. Poor, Robust techniques for signal processing: A survey, Proc. IEEE, vol. 73, pp. 433-181, 1985.
8. R. S. C. Cobbold, Transducers for Biomedical Measurements: Principles and Applications. New York: Wiley, 1974, pp. 435-436.
9. W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes the Art of Scientific Computing. London, U.K.: Cambridge Univ. Press, 1986.
10. L. R. Rabiner and R. W. Schafer, Digital Processing of Speech Signals.
11. Englewood Cliffs, NJ: Prentice-Hall, 1978, pp. 127-135.
12. B. Kedem, Binary Time Series. New York: Marcel Dekker, 1979.
13. J. Frong, V. F. Froelicher. and M. D. Olson, Application and limitations of continue baseline estimation and removal using a cubic-spline technique during exercise ECG testing, in Proc. Comput. Cardiol, 1987, pp. 537-540.
14. G. M. Friesen, T. C. Jannett, M. A. Jadallah, S. L. Yates, S. R. Quint, and H. T. Nagle, A comparison of the noise sensitivity of nine QRS detection algorithms, IEEE Trans. Biomed. Eng., vol. 37, pp. 85-98, 1990.
15. B. Widrow and M. A. Lehr, 30 Years of Adaptive Neurol Networks: Perceptron, Madaline, and Backpropagation. Piscataway, NJ: IEEE Press, 1992, pp. 27-54.
16. M. Berger, Computer Graphics with PASCAL. Menlo Park, CA: Benjamin/Cummings, 1986.