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Updated: Feb 25, 2026

Analyzing Long-Term Electrocardiography Recordings to Detect Arrhythmias in Mice
Published on: May 23, 2021
Detection and characterization of intermittent complexity variations in cardiac arrhythmia
A Schlemmer1,2, T Baig1,2, S Luther1,2,3,4,5
1Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Am Faßberg 17, 37077 Göttingen, German.
Objective:
A frequent observation during cardiac fibrillation is a fluctuation in complexity where the irregular pattern of the fibrillation is interrupted by more regular phases of varying length.
Approach:
We apply different measures to sliding windows of raw ECG signals for quantifying the temporal complexity. The methods include permutation entropy, power spectral entropy, a measure for the extent of the set of reconstructed states and several wavelet measures.
Main Results:
Using these methods, variations of fibrillation patterns over time are detected and visualized.
Significance:
These quantifications can be used to characterize different phases of the ECG during fibrillation and might improve diagnosis and treatment methods for heart diseases.
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