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The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
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Assessing the respiratory rate and rhythm for a complete minute is crucial for evaluating the breathing pattern. Even a minor increase in the patient's average respiratory rate, by as little as three to five breaths per minute, is an early and vital indicator of respiratory distress. Patients with a respiratory rate exceeding twenty-four breaths per minute require close monitoring to determine the physiological alterations. This careful observation is essential for prompt recognition and...
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Respiratory capacities are crucial indicators of lung function, representing the maximum amount of air an individual's respiratory system can handle during various breathing phases.
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Respiratory volumes are crucial metrics, meticulously measured to quantify the air exchanged in and out of the lungs during various phases of the breathing cycle. These precise measurements are vital for assessing lung function, diagnosing respiratory conditions, and monitoring overall respiratory health. Each parameter provides specific insights into the mechanics of breathing and the functional capacity of the lungs.
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The respiratory system is responsible for the intake of oxygen and the expulsion of carbon dioxide from the body. Respiratory volumes describe the volume of air in the lungs at different phases of the respiratory cycle. Tidal volume is the air breathed in and out during normal, quiet breathing. Inspiratory reserve volume is the air that can be forcefully inspired beyond the tidal volume. In contrast, expiratory reserve volume refers to the air that can be expelled from the lungs after a normal...
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Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
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Precision-Controlled Bionic Lung Simulator for Dynamic Respiration Simulation.

Rong-Heng Zhao1, Shuai Ren1, Yan Shi2

  • 1School of Automation, Beijing Institute of Technology, Beijing 100081, China.

Bioengineering (Basel, Switzerland)
|September 27, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel dual-chamber lung simulator capable of active and passive modes for advanced ventilator testing and respiratory research. Its precise control accurately mimics complex breathing patterns and pathological conditions like ARDS and COPD.

Keywords:
airway resistancebionic lung simulatorlung compliancerespiration simulationventilator

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Area of Science:

  • Biomedical Engineering
  • Respiratory Physiology
  • Control Systems

Background:

  • Mechanical ventilation is crucial for severe respiratory conditions.
  • Existing lung simulators lack realistic dynamic control and pathological simulation capabilities.
  • High-fidelity simulators are essential for ventilator testing, training, and research.

Purpose of the Study:

  • To develop a versatile dual-chamber lung simulator operating in active and passive modes.
  • To enable accurate replication of complex respiratory patterns and pathological conditions.
  • To enhance ventilator testing, clinical training, and respiratory research.

Main Methods:

  • Implementation of a sliding mode controller with a linear extended state observer.
  • Development of a dual-chamber system for active and passive mode operation.
  • Parameter tuning to simulate physiological and pathological respiratory mechanics (ARDS, COPD).

Main Results:

  • Accurate replication of complex respiratory patterns with absolute flow error within ±3 L/min.
  • Response time under 200 ms, ensuring rapid and reliable performance.
  • Passive mode offers continuous adjustability of lung compliance (30-100 mL/cmH2O) and airway resistance (2.01-14.67 cmH2O/(L/s)) with ±5% compliance deviation.

Conclusions:

  • The developed dual-chamber lung simulator provides precise control over respiratory mechanics in both active and passive modes.
  • It effectively simulates physiological and pathological respiratory conditions, advancing ventilator testing and research.
  • The system's adaptability and performance make it suitable for evaluating ventilator efficacy and studying human-machine interactions in respiratory care.