Separating Fractal and Oscillatory Components in the Power Spectrum of Neurophysiological Signal.

ABSTRACT: Neurophysiological field-potential signals consist of both arrhythmic and rhythmic patterns indicative of the fractal and oscillatory dynamics arising from likely distinct mechanisms. Here, we present a new method, namely the irregular-resampling auto-spectral analysis (IRASA), to separate fractal and oscillatory components in the power spectrum of neurophysiological signal according to their distinct temporal and spectral characteristics. In this method, we irregularly resampled the neural signal by a set of non-integer factors, and statistically summarized the auto-power spectra of the resampled signals to separate the fractal component from the oscillatory component in the frequency domain. We tested this method on simulated data and demonstrated that IRASA could robustly separate the f

SUBMITTER: Wen H 

PROVIDER: S-EPMC4706469 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature