The use of a wavelet transform for the analysis of nonstationary heart rate variability signal during thrombolytic therapy as a marker of reperfusion

Computers in Cardiology

Volumn 0, Issue 0, 1998, Pages 609-612

  Toledo, E ^a   Gurevitz, O ^a   Hod, H ^a   Eldar, M ^a   Akselrod, S ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0000344947     PISSN: 02766574     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (7)

1. Thames MD. Dibner-Dunlap ME, Minisi AJ. Cardiovascular Reflexes during Myocardial Ischemia and Infarction. In Cardiovascular Reflex Control in Health and Disease Eds. Hainsworth R. Mark AL, Sonders London 1993.
2. Akselrod S, Arbel J. Oz O, Benary V, and David D. Spectral Analysis of HR fluctuations in the evaluation of autonomous control during acute myocardial infarction. In: Computers in Cardiology 1985. Linköping: IEEE Computer Society Press 1985:315-8
3. Luria MH, Sapoznikiv D, Gilon D, Zahger D, Weinstein JM, Weiss AT, Gotsman MS. Early Heart Rate Variability Alterations after Acute Myocardial Infarction. Am. Heart J. 1993;125(3):676-81
4. Keselbrener L, Akselrod S. Selective Discrete Fourier Transform Algorithm -SDA- for Time-Frequency Analysis: Method and Application on Simulated and Cardiovascular Signals. IEEE Trans Biomedical Eng. 1996;43:789-802
5. Oppenheim A.V., Schafer R.W. Digital Signal Processing, Prentice-Hall N.J. 1989.
6. Amin MG. A New Approach to Recursive Fourier Transform. Proc. IEEE 1987;75:1537-8.
7. Daubechies I. The Wavelet Transform. Time Frequency Localization and Signal Analysis. IEEE Trans. Inform. Theory 1990;30(3):961-1005.