Transition Icons for Time-Series Visualization and Exploratory Analysis.

ABSTRACT: The modern healthcare landscape has seen the rapid emergence of techniques and devices that temporally monitor and record physiological signals. The prevalence of time-series data within the healthcare field necessitates the development of methods that can analyze the data in order to draw meaningful conclusions. Time-series behavior is notoriously difficult to intuitively understand due to its intrinsic high-dimensionality, which is compounded in the case of analyzing groups of time series collected from different patients. Our framework, which we call transition icons, renders common patterns in a visual format useful for understanding the shared behavior within groups of time series. Transition icons are adept at detecting and displaying subtle differences and similarities, e.g., betwee

SUBMITTER: Nickerson PV 

PROVIDER: S-EPMC5901727 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature