Measuring temporal complexity of ventricular fibrillation

Dejin Yu; Michael Small; Robert G. Harrison; Colin Robertson; Gareth Clegg; Michael Holzer; Fritz Sterz

doi:10.1016/S0375-9601(99)00827-0

Measuring temporal complexity of ventricular fibrillation

Dejin Yu, Michael Small, Robert G. Harrison, Colin Robertson, Gareth Clegg, Michael Holzer, Fritz Sterz

School of Engineering & Physical Sciences

Research output: Contribution to journal › Article › peer-review

23 Citations (Scopus)

Abstract

Temporal complexity of early ventricular fibrillation (VF) is re-assessed through measuring the correlation dimension D₂, entropy K₂ and high-dimensional component s from electrocardiogram (ECG) recordings using the Gaussian kernel algorithm. Seven representative ECG traces of induced VF among 53 pig subjects are selected for analysis. VF is found to have 80-90% low-dimensional deterministic dynamics with D₂ varying around 5 and 10-20% high-dimensional extents. (C) 2000 Elsevier Science B.V.

Original language	English
Pages (from-to)	68-75
Number of pages	8
Journal	Physics Letters A
Volume	265
Issue number	1-2
DOIs	https://doi.org/10.1016/S0375-9601(99)00827-0
Publication status	Published - 17 Jan 2000

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AU - Holzer, Michael

AU - Sterz, Fritz

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AB - Temporal complexity of early ventricular fibrillation (VF) is re-assessed through measuring the correlation dimension D2, entropy K2 and high-dimensional component s from electrocardiogram (ECG) recordings using the Gaussian kernel algorithm. Seven representative ECG traces of induced VF among 53 pig subjects are selected for analysis. VF is found to have 80-90% low-dimensional deterministic dynamics with D2 varying around 5 and 10-20% high-dimensional extents. (C) 2000 Elsevier Science B.V.

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Measuring temporal complexity of ventricular fibrillation

Abstract

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