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Changelog

Source: NEWS.md

EGM 0.2.0

CRAN release: 2025-11-02

This release includes major improvements to WFDB functionality and package structure.

  • Native WFDB implementation: Added C++ implementation for reading and writing WFDB files, removing the system dependency on external WFDB libraries

  • Annotation improvements: Enhanced annotation handling with new helper functions and improved frequency handling

  • Signal format: Updated signal format to accept integer data types for improved memory efficiency and compatibility

  • Documentation: Added new annotation-guide vignette and expanded wfdb-guide vignette with detailed examples

  • Breaking changes: Removed segmentation.R functions and related vignette (functionality may be restored in future releases)

  • Code quality: Extensive refactoring and documentation improvements across the package, including detailed inline comments

EGM 0.1.1

CRAN release: 2025-10-14

This is an updated release to CRAN for this package. The changes to this version are as follows.

  • Update to ggm() function to allow for appropriate theming for dark and light color themes (removes issues with importing colors)

  • Update to code and testing suite to assess compatibility with the ggplot2 v4.0.0 release

  • Addition of a series of functions for F wave extraction and analysis

  • Addition of rudimentary functions for windowing signal based on surface ECG

  • New function to read in Prucka (CardioLab) for EP study recordings with the read_prucka() function

EGM 0.1.0

CRAN release: 2024-05-23

This is the first CRAN release for this package. The initial version contains key features for working with intracardiac electrograms (EGM) and surface electrocardiograms (ECG), visualizing signals, and working with annotations stored in the WFDB format. A single, major class is introduced here.

  • egm objects contain signal data and meta-data with specific dispatch methods, and are composed of three internal classes
    • a signal_table that contains the raw signal data
    • a header_table that contains meta-data about the signal data
    • an annotation_table that identifies samples and labels them with specific annotations

Additional I/O features are introduced to work with data stored in the WFDB format:

  • read_wfdb() reads in WFDB data and returns an egm object
  • write_wfdb() writes an egm object to a WFDB-compatible format

This first version also allows working with ECG and EGM data using:

  • read_muse() for ECG data (GE MUSE, v9)
  • read_lspro() for EGM data (LabSystem Pro)