Kember Cardiac Nerve Model

Elisabetta Iavarone
Katie Zhuang

Simulation and viewer for a model of autonomic control of cardiac function contributed by Prof. Guy Kember from Dalhousie University.

Updated on March 1, 2023 (Version 1)

Corresponding Contributor:

Elisabetta Iavarone
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Dataset Overview

Study Purpose: Studying the mechanisms of recurrent myocardial infarction in a computational model.

Data Collection: Not applicable – a computational study.

Primary Conclusion: The totality of the results provide a mechanistic reasoning that validates the clinical practice of reducing sympathetic efferent neuronal tone while aggressively targeting autonomic derangement in the treatment of ischemic heart disease.

Curator's Notes

Experimental Design: Computational model of autonomic control of cardiac function.

Completeness: This dataset is complete.

Subjects & Samples: This is a computational model dataset; thus no subjects are described.

Primary vs derivative data: Not applicable. This is a computational study.

Code Availability: The workflow contains a model of autonomic nervous activity and heart rate. Additionally, a pre-instantiated jupyter notebook is connected that plots the results of simulation. The model here is described in a publication: Recurrent myocardial infarction: Mechanisms of free-floating adaptation and autonomic derangement in networked cardiac neural control.


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About this dataset

Publishing history

March 1, 2023
Originally Published
March 1, 2023 (Version 1)
Last Updated

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