{pkgdown}
settings for documentation
organizationggm()
egm
objects called
ecg
to identify 12-lead ECG subtypesThis 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
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
signal_table
that contains the raw signal dataheader_table
that contains meta-data about the signal
dataannotation_table
that identifies samples and labels
them with specific annotationsAdditional I/O features are introduced to work with data stored in
the WFDB
format:
read_wfdb()
reads in WFDB
data and returns
an egm
objectwrite_wfdb()
writes an egm
object to a
WFDB
-compatible formatThis 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)