Spatio-temporal analysis of complex human physiologic time series

In this paper, we introduced two novel parameters, the curvature and area of multifractal mass exponent spectrum. In addition, using the multiscale analysis method, we studied the mass exponent spectra of ECG signals taken from the cohorts of healthy, ischemia and myocardial infarction (MI) sufferer with different sampling frequencies and data points, expecting to acquire some valuable nonlinear eigenvalues to distinguish among them through those individual discrepancies. We then compared these new indicators with other nonlinear parameters of singularity spectrum. The classification indexes indicated that our method could achieve a better effect. These conclusions may be of some value in early diagnoses and clinical applications.