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TSAN: a package for time series analysis

D C Wang, A H Vagnucci

    Computer Programs in Biomedicine
    |April 1, 1980
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces TSAN, a software package for analyzing biomedical time series data. TSAN performs tasks like biorhythm detection, homogeneity testing, and stationarity assessment for improved data analysis.

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    Area of Science:

    • Biomedical data analysis
    • Time series analysis
    • Computational biology

    Background:

    • Biomedical data frequently presents as time series, requiring specialized analytical methods.
    • Existing analytical approaches for biomedical time series are diverse and can be complex.
    • A unified tool for common time series analyses in biomedicine is needed.

    Purpose of the Study:

    • To introduce TSAN, a novel subroutine package designed for comprehensive biomedical time series analysis.
    • To provide computational methods and flowcharts for the implemented subroutines.
    • To demonstrate the utility of TSAN through sample run examples.

    Main Methods:

    • Development of a subroutine package named TSAN.
    • Implementation of algorithms for biorhythm search.

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  • Inclusion of tests for time series homogeneity, stationarity, and normality.
  • Methods for evaluating data point dependence are incorporated.

    • Main Results:

    • TSAN package successfully integrates multiple time series analysis tasks.
    • Detailed computational methods and flowcharts are provided for each subroutine.
    • Sample runs illustrate the practical application and effectiveness of TSAN.

    Conclusions:

    • TSAN offers a valuable and integrated solution for common biomedical time series analyses.
    • The package facilitates a deeper understanding of complex biomedical datasets.
    • TSAN can aid researchers in various fields of biomedical data science.