Recent evidence suggests that physiological signals under healthy conditions may have a fractal temporal structure. We investigate the possibility that time series generated by certain physiological control systems may be members of a special class of complex processes, termed multifractal, which require a large number of exponents to characterize their scaling properties. We report on evidence for multifractality in a biological dynamical system -- the healthy human heartbeat. Further, we show that the multifractal character and nonlinear properties of the healthy heart rate are encoded in the Fourier phases. We uncover a loss of multifractality for a life-threatening condition, congestive heart failure.

AIP Conference Proceedings
International Conference on Unsolved Problems of Noise and Fluctuations
Database Architectures

Ivanov, P. C., Nunes Amaral, L. A., Goldberger, A. L., Havlin, S., Rosenblum, M. G., Struzik, Z. R., & Stanley, H. E. (2000). Beyond 1/f: Multifractality in Human Heartbeat Dynamics. In Proceedings of International Conference on Unsolved Problems of Noise and Fluctuations 1999 (2) (pp. 273–281).