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ABSTRACT: Background
Entropy analysis has been attracting increasing attentions in the recent two or three decades. It assesses complexity, or irregularity, of time-series which is extraordinarily relevant to physiology and diseases as demonstrated by tremendous studies. However, the complexity can hardly be appreciated by traditional methods including time-, frequency-domain analysis, and time-frequency analysis that are the common built-in options in commercialized measurement and statistical software. To facilitate the entropy analysis of physiological time-series, a new software application, namely EZ Entropy, was developed and introduced in this article.Results
EZ Entropy was developed in MATLAB® environment. It was programmed in an object-oriented style and was const
SUBMITTER: Li P
PROVIDER: S-EPMC6425722 | biostudies-literature | 2019 Mar
REPOSITORIES: biostudies-literature