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Assembly and Characterization of an External Driver for the Generation of Sub-Kilohertz Oscillatory Flow in Microchannels
Published on: January 28, 2022
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Functional characterization of oscillatory and excitable media
1Department of Physiology, McGill University, 3655 Promenade Sir William Osler, Montreal, QC , H3G 1Y6, Canada, glass@cnd.mcgill.ca.
Bulletin of Mathematical Biology
|October 1, 2014
Summary
This study explores cardiac and neural system dynamics by modeling cell behavior and tissue properties. It proposes using functional curves to simplify analysis and gain insights into complex cardiac dynamics.
Area of Science:
- Computational biology
- Systems neuroscience
- Cardiac electrophysiology
Background:
- Cardiac and neural systems exhibit intrinsic oscillations and excitation propagation.
- Realistic tissue modeling requires detailed cellular and junctional connections.
Purpose of the Study:
- To explore theoretical approaches for modeling cardiac and neural systems.
- To investigate the use of functional properties for tissue characterization.
- To provide simplified descriptions for understanding cardiac dynamics.
Main Methods:
- Developing detailed ionic Hodgkin-Huxley models for individual cells.
- Connecting cells via synaptic and gap junctions in realistic geometries.
- Characterizing tissue using functional properties like phase resetting and restitution curves.
- Utilizing simple one-dimensional difference equation models.
Main Results:
- Functional curves can predict, analyze, and interpret nonlinear dynamical phenomena.
- Simplified models offer insights into experimental and clinical cardiac dynamics.
Conclusions:
- An alternative approach using functional properties offers a simplified yet insightful method for studying cardiac tissue dynamics.
- This method aids in understanding complex nonlinear dynamics in cardiac systems.
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