Heart rate control in infants at high risk for sudden infant death syndrome (SIDS)

Computers in Cardiology

Volumn 0, Issue 0, 1996, Pages 173-176

  Mrowka, R ^a   Schluter B ^b   Gerhardt, D ^c   Patzak, A ^a  

^a HUMBOLDT UNIVERSITY   (Germany)

^b Vestische Kinderklinik Datteln

^c UNIVERSITY OF PADERBORN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; ELECTROCARDIOGRAPHY; FAST FOURIER TRANSFORMS; INTERPOLATION; LYAPUNOV METHODS; NEONATAL MONITORING; PEDIATRICS; PHYSIOLOGY; SPECTRUM ANALYSIS; TIME SERIES ANALYSIS;

BRONCHOPULMONARY DYSPLASIA; HEART RATE CONTROL; LARGEST LYAPUNOV EXPONENT; POLYGRAPHICAL MEASUREMENTS; SUDDEN INFANT DEATH SYNDROME;

CARDIOLOGY;

EID: 0030407486     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (18)

1. Calder-NA, Williams-BA, et al. Pediatr-Res. 35: 677-681, 1994 Absence of ventilatory responses to alternating breaths of mild hypoxia and air in infants who have had bronchopulmonary dysplasia: implications for the risk of sudden infant death.
2. Eckmann, J.-P. and D. Ruelle. Physica D 56: 185-187, 1992. Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamical systems.
3. Fell, J. and P. Beckmann. Physics Letters A 190. 172-176, 1994. Resonance-like Phenomena in Lyapunov calculations from data reconstructed by time-delay method.
4. Filtchev, S. I., L. Curzi-Dascalova, et al. Chest 6: 1711-1716, 1994. Heart Rate Variability During Sleep - in Infants with Bronchopulmonary Dysplasia.
5. Grassberger, P. and Procaccia, I. Physica D, Nonlinear Phenomena 9: 189-208, 1983. Measuring the strangeness of a strange attractor.
6. Kamath, M. V. and E. L. Fallen. Crit. Rev. Biomed. Eng. 21: 245-311, 1993. Power spectral analysis of heart rate variability: a noninvasive signature of cardiac autonomie function. [Review].
7. Kluge-KA, Harper-RM, et al. Pediatr-Res. 24: 677-682, 1988. Spectral analysis assessment of respiratory sinus arrhythmia in normal infants and infants who subsequently died of sudden infant death syndrome.
8. Lie-JT, Rosenberg-HS, et al. Circulation. 53: 3-8, 1976. Histopathology of the conduction system in the sudden infant death syndrome.
9. Pagani, M., F. Lombardi, et al. Cire. Res. 178-193, 1986. Power Spectral Analysis of Heart Rate and Arterial Pressure Variabilities as a Marker of SympathoVagal Interaction in Man and Concious Dog.
10. Perticone-F, Ceravolo-R, et al. PACE-Pacing-Clin-Electrophysiol 13: 2096-2099, 1990. Heart rate variability and sudden infant death syndrome.
11. Schechtman-VL, Harper-RM, et al. Sleep. 13: 304-317, 1990. Correlations between cardiorespiratory measures in normal infants and victims of sudden infant death syndrome.
12. Singelton, R. C. IEEE Transac. on Audio and Electronics AU-17, June: 93-103, 1969. An Algorithm for Computing the Mixed Radix Fast Fourier Transform.
13. Stockard-Pope, J. E., Werner. Development of Sleep - Wake states. In: Atlas of neonatal electroencephalography, AnonymousN.Y. Raven Press, p. 93ff
14. Stramba-Badiale-M, Lazzarotti-M, et al. Am-J-Physiol. 263: H1514-22, 1992. Development of cardiac innervation, ventricular fibrillation, and sudden infant death syndrome.
15. Taylor-JA and Sanderson-M. J-Pediatr. 126: 887-891, 1995. A reexamination of the risk factors for the sudden infant death syndrome.
16. Theiler, J. and T. Lookman. Int. J. of Bif. and Chaos 3: 765-771, 1993. Statistical error in a chord estimator of correlation dimension: The "rule of five".
17. Theiler, J., S. Eubank, et al. Physica D 58: 77-94, 1992. Testing for nonlinearity in time series: the method of surrogate data.
18. Wolf, A., J. Swift, et al. Physica D 16: 285-317, 1985. Determining lyapunov exponents from a time series.