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Detection and characterization of intermittent complexity variations in cardiac arrhythmia

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Schlemmer,  Alexander
Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Baig,  Tariq
Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

/persons/resource/persons173583

Luther,  Stefan
Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

/persons/resource/persons173613

Parlitz,  Ulrich
Research Group Biomedical Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society;

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Citation

Schlemmer, A., Baig, T., Luther, S., & Parlitz, U. (2017). Detection and characterization of intermittent complexity variations in cardiac arrhythmia. Physiological Measurement, 38(8), 1561-1575. doi:10.1088/1361-6579/aa7be0.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-BA53-F
Abstract
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.