Detecting space-time alternating biological signals close to the bifurcation point.

ABSTRACT: Time-alternating biological signals, i.e., alternans, arise in variety of physiological states marked by dynamic instabilities, e.g., period doubling. Normally, a sequence of large-small-large transients, they can exhibit variable patterns over time and space, including spatial discordance. Capture of the early formation of such alternating regions is challenging because of the spatiotemporal similarities between noise and the small-amplitude alternating signals close to the bifurcation point. We present a new approach for automatic detection of alternating signals in large noisy spatiotemporal datasets by exploiting quantitative measures of alternans evolution, e.g., temporal persistence, and by preserving phase information. The technique specifically targets low amplitude, relatively sho

SUBMITTER: Jia Z 

PROVIDER: S-EPMC3153073 | biostudies-literature | 2010 Feb

REPOSITORIES: biostudies-literature