Cite
Development, in vitro validation and human application of a novel method to identify arrhythmia mechanisms: The stochastic trajectory analysis of ranked signals mapping method.
MLA
Honarbakhsh, Shohreh, et al. “Development, in Vitro Validation and Human Application of a Novel Method to Identify Arrhythmia Mechanisms: The Stochastic Trajectory Analysis of Ranked Signals Mapping Method.” Journal of Cardiovascular Electrophysiology, vol. 30, no. 5, May 2019, pp. 691–701. EBSCOhost, https://doi.org/10.1111/jce.13882.
APA
Honarbakhsh, S., Hunter, R. J., Finlay, M., Ullah, W., Keating, E., Schilling, R. J., & Tinker, A. (2019). Development, in vitro validation and human application of a novel method to identify arrhythmia mechanisms: The stochastic trajectory analysis of ranked signals mapping method. Journal of Cardiovascular Electrophysiology, 30(5), 691–701. https://doi.org/10.1111/jce.13882
Chicago
Honarbakhsh, Shohreh, Ross J. Hunter, Malcolm Finlay, Waqas Ullah, Emily Keating, Richard J. Schilling, and Andrew Tinker. 2019. “Development, in Vitro Validation and Human Application of a Novel Method to Identify Arrhythmia Mechanisms: The Stochastic Trajectory Analysis of Ranked Signals Mapping Method.” Journal of Cardiovascular Electrophysiology 30 (5): 691–701. doi:10.1111/jce.13882.