Electrogram Error and Correlation Metrics for Cardiac Simulations

March 2026 data from Josue Nataren Moran provides error and correlation values for cardiac electrogram signals. The dataset includes mean and standard deviation for peak-peak amplitude, deflection count, EGM duration, and LAT from H1A and H1B signals, along with correlation coefficients and cross-correlation peak averages.

Use Cases

• Compare LAT error to peak-peak amplitude error across H1A and H1B signals to identify the most reliable simulation metric.
• Analyze correlation coefficients of electrograms to assess signal similarity before and after amplitude normalization.
• Investigate the relationship between cross-correlation peak averages and amplitude normalization for signal comparison.
• Calculate standard deviation for deflection count and EGM duration to quantify variability in simulated signal features.

Strengths

• Includes four specific error metrics: peak-peak amplitude, deflection count, EGM duration, and LAT.
• Provides correlation coefficients and cross-correlation peak averages for normalized signal versions.
• Data is recent, last updated in March 2026.

Limitations

• Very small dataset at 5.5 KB, limiting statistical power for analysis.
• Unknown row count prevents assessment of sample size.
• Scope is limited to signals from two specific patients (H1A and H1B).

Provenance

Source

figshare, author Josue Nataren Moran.

Collection Method

Derived from comparing measured electrograms (EGMs) to cardiac electrophysiology simulations.

Time Range

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Freshness

Last updated 2026-03-26.

Geography

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