Long-range anticorrelations and non-Gaussian behavior of the heartbeat

Abstract

We find that the successive increments in the cardiac beat-to-beat interals of healthy subjects display scale-invariant, long-range anticorrelations (up to ${10}^4$ heart beats). Furthermore, we find that the histogram for the heartbeat intervals increments is well described by a Lévy stable distribution. For a group of subjects with severe heart disease, we find that the distribution is unchanged, but the long-range correlations vanish. Therefore, the different scaling behavior in health and disease must relate to the underlying dynamics of the heartbeat.