egm: Electrogram data class from electrophysiology studies

In EGM: Evaluating Cardiac Electrophysiology Signals

Electrogram data class from electrophysiology studies

Description

This class serves as a combinatorial class to describe cardiovascular electrical signal data in R. It is based off of the formats available in WFDB, but has been formatted for ease of use within the R ecosystem. An egm object contains three components in a list:

• signal data in multiple channels

• header information

• annotation labels at specified time points

These components help to navigate, and visualize data. The egm class is the backbone for working with WFDB objects in R, and provides an interface for integrating or converting other raw signal data to a WFDB format.

Usage

egm(
  signal = signal_table(),
  header = header_table(),
  annotation = annotation_table(),
  ...
)

is_egm(x)

Arguments

signal	A signal_table object generated by the signal_table() function
header	A header_table object generated by the header_table() function
annotation	A annotation_table object generated by the annotation_table() function
...	Additional arguments to be passed to the function
x	An egm object, typically generated by the egm() function, to be used with support functions (e.g. is_egm()

Details

The individual components of the class are further defined in their respective children functions signal_table(), header_table(), annotation_table(). They are very simple classes that build upon the data.table class that allow for class safety checks when working with different data types (particularly WFDB).

IMPORTANT: The egm class can be built from ground-up by the user, however it is primarily generated for the user using the other read/write functions, such as read_lspro() or read_wfdb().

Value

An object of class egm that is always a list of the above three components. Oftentimes, the annotation_table object may be missing, and it is replaced with an empty table as a place holder.

EGM documentation built on June 22, 2024, 6:53 p.m.