Nonlinear analysis of cardiac rhythm fluctuations using DFA method

• AUTHORS: P.-A. Absil, R. Sepulchre, A. Bilge, P. Gérard.
• ABSTRACT:
  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.

• Published version: http://dx.doi.org/10.1016/S0378-4371(99)00295-2.
• Preprint: PS file.
• Version française publiée dans le Bulletin Scientifique de l'Association des Ingénieurs Electriciens sortis de l'Institut d'Electricité Montefiore, volume 3, 1998: [ps], [pdf].

• Elsevier site.