Nonlinear analysis of cardiac rhythm fluctuations using DFA method
- AUTHORS: P.-A. Absil, R. Sepulchre, A. Bilge, P. Gérard.
After a brief overview of classical techniques used to explore
cardiac rhythm variability, we show how the DFA method can help
diagnose heart failure.
Our clinical study reveals that the DFA $\alpha$ coefficient of the cardiac
rhythm is an efficient predictor of the future health of patients
suffering from Congestive Heart Failure. Moreover, we introduce a new
coefficient which measures the scale invariance in the cardiac rhythm. This new
coefficient appears to be related to the subsequent
evolution of the patients.
- STATUS: published in Physica A: Statistical Mechanics and its Applications
(272) 1-2 (1999) pp. 235-244 ,
1 October 1999.
- DATE OF ENTRY: July 1999.