Physiolibrary

Physiolibrary implements integrative physiological modeling using Modelica's equation-based framework to represent physiological components as reusable, class-based models for simulation and analysis across chemical, hydraulic, thermal, and population domains.

Key Features:

• Equation-based modeling: Uses Modelica's equation-based framework to define mathematically rigorous representations of physiological systems.
• Object-oriented components: Encapsulates each physiological term as a Modelica class that can be instantiated multiple times to represent occurrences in different parts of the body.
• Modularity and scalability: Enables modular composition and reuse of components to build scalable integrative physiology models.
• Graphical icons and code generation: Associates graphical icons with classes and generates Modelica code that represents the underlying mathematical models.
• Circuit-like constructs and Kirchhoff's laws: Provides constructs for diagrams analogous to electrical circuits governed by Kirchhoff's laws to integrate multiple physical domains.
• Multi-domain analogies: Maps domains including chemical (molar flows and concentrations), hydraulic (volumetric flows and pressures), thermal (heat flows and temperatures), and population (changes and amounts of members).

Scientific Applications:

• Cardiovascular Circulation Modeling: Simulating blood flow and pressure dynamics within the cardiovascular system.
• Metabolic Processes: Analyzing metabolic pathways and their regulation.
• Nutrient Distribution: Studying transport and distribution of nutrients throughout the body.
• Thermoregulation: Investigating heat production, transfer, and loss in maintaining body temperature.
• Gases Transport: Modeling transport and exchange of gases such as oxygen and carbon dioxide.
• Electrolyte Regulation: Understanding balance and regulation of electrolytes within physiological systems.
• Water Distribution: Examining distribution and regulation of water across tissues and organs.
• Hormonal and Pharmacological Regulation: Exploring effects of hormones and drugs on physiological processes.

Methodology:

Models are implemented in Modelica as equation-based, object-oriented classes that can be instantiated and composed using circuit-like constructs reflecting Kirchhoff's laws to represent multi-domain physiological dynamics.