Continuous Glucose Monitoring Time Series Data Analysis: A Time Series Analysis Package for Continuous Glucose Monitoring Data.

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  • Author(s): Shao J;Shao J; Liu Z; Liu Z; Li S; Li S; Wu B; Wu B; Nie Z; Nie Z; Li Y; Li Y; Zhou K; Zhou K
  • Source:
    Journal of computational biology : a journal of computational molecular cell biology [J Comput Biol] 2023 Jan; Vol. 30 (1), pp. 112-116. Date of Electronic Publication: 2022 Aug 08.
  • Publication Type:
    Journal Article; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Mary Ann Liebert, Inc Country of Publication: United States NLM ID: 9433358 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-8666 (Electronic) Linking ISSN: 10665277 NLM ISO Abbreviation: J Comput Biol Subsets: MEDLINE
    • Publication Information:
      Original Publication: New York, NY : Mary Ann Liebert, Inc., c1994-
    • Subject Terms:
      Blood Glucose*/analysis ; Blood Glucose Self-Monitoring*/methods; Time Factors ; Software
    • Abstract:
      The R package Continuous Glucose Monitoring Time Series Data Analysis (CGMTSA) was developed to facilitate investigations that examine the continuous glucose monitoring (CGM) data as a time series. Accordingly, novel time series functions were introduced to (1) enable more accurate missing data imputation and outlier identification; (2) calculate recommended CGM metrics as well as key time series parameters; (3) plot interactive and three-dimensional graphs that allow direct visualizations of temporal CGM data and time series model optimization. The software was designed to accommodate all popular CGM devices and support all common data processing steps. The program is available for Linux, Windows, and Mac at GitHub.
    • Contributed Indexing:
      Keywords: CGM data visualization; CGM metrics; continuous glucose monitoring; quality control; time series analysis
    • Accession Number:
      0 (Blood Glucose)
    • Publication Date:
      Date Created: 20220808 Date Completed: 20230110 Latest Revision: 20230228
    • Publication Date:
      20240104
    • Accession Number:
      10.1089/cmb.2022.0100
    • Accession Number:
      35939283