Respiratory Cycle Modeling
Respiratory Cycle Modeling - Related Videos
07:20
Lavage-induced Surfactant Depletion in Pigs As a Model of the Acute Respiratory Distress Syndrome (ARDS)
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Cited by 21 •
2016
Repeated pulmonary lavages in anesthetized pigs induce lung injury resembling major aspects of human acute respiratory distress syndrome (ARDS). For this purpose the lungs are repeatedly lavaged with 0.9% saline at 37 °C. The goal of the protocol is a reproducible mitigation of gas exchange and hemodynamics for research in ARDS.
13:10
Evaluation of Respiratory System Mechanics in Mice using the Forced Oscillation Technique
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Cited by 130 •
2013
The present protocol provides a detailed step-by-step description of the procedures required to execute measurements of respiratory system mechanics as well as the assessment of airway responsiveness to inhaled methacholine in mice using the forced oscillation technique (flexiVent; SCIREQ Inc, Montreal, Qc, Canada).
09:24
Repeated Measurement of Respiratory Muscle Activity and Ventilation in Mouse Models of Neuromuscular Disease
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Cited by 8 •
2017
This paper introduces a method for repeated measurements of ventilation and respiratory muscle activity in a freely behaving amyotrophic lateral sclerosis (ALS) mouse model throughout disease progression with whole-body plethysmography and electromyography via an implanted telemetry device.
09:59
Respiratory Exam I: Inspection and Palpation
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2023
Source: Suneel Dhand, MD, Attending Physician, Internal Medicine, Beth Israel Deaconess Medical Center Disorders of the respiratory system with a chief complaint of shortness of breath are among the most common reasons for both outpatient and inpatient evaluation. The most obvious visible clue to a respiratory problem will be whether the patient is displaying any signs of respiratory distress, such as fast respiratory rate and/or cyanosis. In a clinical situation, this will always require...
09:09
A Murine Model of Cervical Spinal Cord Injury to Study Post-lesional Respiratory Neuroplasticity
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Cited by 16 •
2014
Respiratory failure is the leading cause of death following a cervical spinal cord injury. Having a reproducible, quantifiable, and reliable pre-clinical animal model of respiratory failure induced by a partial cervical injury will help to understand the subsequent respiratory and non-respiratory neuroplasticity and allow testing putative repair strategies.
FAQs
Periodic functions represent the repeating structure of inhalation and exhalation, making cycle timing and changes in magnitude explicit. Differential equations instead express how variables such as lung volume, airflow, and airway pressure change in relation to one another over time. Parameter-based relationships can supplement either approach by adjusting features such as amplitude, resistance, and compliance to represent different breathing conditions.
These parameters determine how a modeled breathing cycle behaves. Timing describes the duration or position of inhalation and exhalation, while amplitude represents the size of a modeled change, such as a volume or airflow variation. Resistance and compliance characterize additional relationships within the respiratory system, allowing the model to represent changes in respiratory mechanics rather than only the cycle’s repeating pattern.
Considering these variables together provides a more informative representation of respiratory mechanics than tracking a single measurement. Their modeled relationships show how changes over time correspond across volume, airflow, and pressure. This combined view supports analysis of ventilation and helps researchers examine how altered breathing patterns or physiological conditions affect the behavior represented by the model.
A model can represent different breathing patterns by changing parameters that control cycle timing, amplitude, resistance, and compliance. Adjusting these values changes the mathematical behavior of volume, airflow, or pressure across successive cycles. Researchers can therefore use the same modeling framework to quantify typical ventilation and examine how physiological conditions modify respiratory mechanics.
A basic workflow begins by selecting the respiratory variables of interest, such as lung volume, airflow, or airway pressure. The researcher then chooses periodic functions, differential equations, or parameter-based relationships to describe their time-dependent behavior. Cycle timing, amplitude, resistance, and compliance are incorporated as appropriate, after which the model can support interpretation of respiratory data or computational simulation.
Researchers use respiratory models when they need to quantify ventilation, interpret measurements, or simulate breathing behavior computationally. The models can represent normal cycles as well as changes associated with physiological conditions, helping investigators study respiratory mechanics without relying only on descriptive observations. They also provide a mathematical framework for examining how selected parameters influence modeled breathing outcomes.
By translating breathing behavior into mathematical relationships among time, volume, airflow, and pressure, these models can support respiratory monitoring tools and the interpretation of collected data. Simulations can also represent differing respiratory conditions and their effects on mechanics. This combination of measurement analysis and computational representation contributes to tools intended to inform respiratory assessment and clinical decision-making.