Abstract: The present invention describes a method and apparatus for detecting and quantifying intrinsic positive end-expiratory pressure (PEEPi) of a respiratory patient breathing with the assistance of a ventilator. A processing device receives respiratory airway data from one or more sensors adapted to non-invasively monitor a respiratory patient, calculates from the respiratory airway data two or more parameters that are indicative of or quantify intrinsic positive end-expiratory pressure of the patient, and generates an indication intrinsic positive end-expiratory pressure (PEEPi).

Abstract: The present invention describes a method and apparatus for detecting and quantifying intrinsic positive end-expiratory pressure (PEEPi) of a respiratory patient breathing with the assistance of a ventilator. A processing device receives respiratory airway data from one or more sensors adapted to non-invasively monitor a respiratory patient, calculates from the respiratory airway data two or more parameters that are indicative of or quantify intrinsic positive end-expiratory pressure of the patient, and generates an indication intrinsic positive end-expiratory pressure (PEEPi).

Abstract: A method of creating a noninvasive predictor of both physiologic and imposed patient effort of breathing from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this noninvasive predictor is based on linear or non-linear calculations using multiple parameters derived from the above-mentioned sensors.

Abstract: A method of creating a non-invasive predictor of both physiologic and imposed patient effort from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this non-invasive predictor is based on linear or nonlinear calculations using multiple parameters derived from the above-mentioned sensors.

Abstract: The present invention describes a method and apparatus for detecting and quantifying intrinsic positive end-expiratory pressure (PEEPi) of a respiratory patient breathing with the assistance of a ventilator. A processing device receives respiratory airway data from one or more sensors adapted to non-invasively monitor a respiratory patient, calculates from the respiratory airway data two or more parameters that are indicative of or quantify intrinsic positive end-expiratory pressure of the patient, and generates a predicted quantitative value for intrinsic positive end-expiratory pressure based on the two or more parameters. The respiratory airway data is transformed into a predicted quantitative value for intrinsic positive end-expiratory pressure (PEEPi).

Abstract: A method of creating a noninvasive predictor of both physiologic and imposed patient effort of breathing from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this noninvasive predictor is based on linear or non-linear calculations using multiple parameters derived from the above-mentioned sensors.

Abstract: Embodiments of the present invention described and shown in the specification and drawings include a system and method for monitoring the ventilation support provided by a ventilator and automatically supplying a breathing gas to a patient via a breathing circuit that is in fluid communication with the lungs of the patient.

Abstract: The present invention describes a method and apparatus for detecting and quantifying intrinsic positive end-expiratory pressure (PEEPi) of a respiratory patient breathing with the assistance of a ventilator. A processing device receives respiratory airway data from one or more sensors adapted to non-invasively monitor a respiratory patient, calculates from the respiratory airway data two or more parameters that are indicative of or quantify intrinsic positive end-expiratory pressure of the patient, and generates a predicted quantitative value for intrinsic positive end-expiratory pressure based on the two or more parameters. The respiratory airway data is transformed into a predicted quantitative value for intrinsic positive end-expiratory pressure (PEEPi).

Abstract: A method of creating a non-invasive predictor of both physiologic and imposed patient effort from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this non-invasive predictor is based on linear or nonlinear calculations using multiple parameters derived from the above-mentioned sensors.

Abstract: A method of creating a non-invasive predictor of both physiologic and imposed patient effort from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this non-invasive predictor is based on linear or non-linear calculations using multiple parameters derived from the above-mentioned sensors.

Abstract: The present invention describes a method and apparatus for non-invasive prediction of the “intrinsic positive end-expiratory pressure” (PEEPi) which is secondary to a trapping of gas, over and above that which is normal in the lungs; the presence of PEEPi imposes an additional workload upon the spontaneously breathing patient. Several indicators or markers are presented to detect and quantify PEEPi non-invasively The markers may include an expiratory air flow versus expiratory air volume trajectory, an expiratory carbon dioxide flow versus expiratory air volume trajectory, an expiratory carbon dioxide volume to expiratory air volume ratio, an expiratory air flow at onset of inhalation, a model of an expiratory waveform, a peak to mid-exhalation airflow ratio, duration of reduced exhaled airflow, and a Capnograph waveform shape.

Abstract: A method of creating a non-invasive predictor of both physiologic and imposed patient effort from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this non-invasive predictor is based on linear or non-linear calculations using multiple parameters derived from the above-mentioned sensors.

Abstract: Embodiments of the present invention described and shown in the specification and drawings include a system and method for monitoring the ventilation support provided by a ventilator that is supplying a breathing gas to a patient via a breathing circuit that is in fluid communication with the lungs of the patient.

Abstract: A method and apparatus for operating a ventilator in a primary electronic mode or in a back-up pneumatic mode during primary electronic mode failure. A method and apparatus for operating a ventilator in an advanced mode, having a number of ventilatory modes, or in a basic mode, having a limited number of ventilatory modes is also disclosed.

Abstract: Embodiments of the present invention described and shown in the specification and drawings include a system and method for monitoring the ventilation support provided by a ventilator and automatically supplying a breathing gas to a patient via a breathing circuit that is in fluid communication with the lungs of the patient.

Abstract: An endotracheal tube pressure monitoring system for an endotracheal tube having at least pressure sensor in communication with a major lumen of the endotracheal tube, and a pressure monitoring subsystem in operative communication with the pressure sensor. The system may also have at least one fluid pressure line in fluid communication with the major lumen and in operative communication with the pressure monitoring subsystem to monitor the pressure of fluid within each respective fluid pressure line, and a purging subsystem in fluid communication with the fluid pressure line. Each fluid pressure line that is in fluid communication with the purging subsystem being selectively purged by the purging subsystem when pressure monitoring subsystem determines the respective pressure line has become obstructed. Purging the fluid pressure line maintains the patency of the pressure line so that accurate pressure measurements within the endotracheal tube can be obtained for calculation of parameters in lung mechanics.

Abstract: A method and apparatus for operating a ventilator in a primary electronic mode or in a back-up pneumatic mode during primary electronic mode failure. A method and apparatus for operating a ventilator in an advanced mode, having a number of ventilatory modes, or in a basic mode, having a limited number of ventilatory modes is also disclosed.

Abstract: The present invention provides a system and method for monitoring the ventilation support provided by a ventilator that is supplying a breathing gas to a patient via a breathing circuit that is in fluid communication with the lungs of the patient. The ventilator has a plurality of selectable ventilator setting controls governing the supply of ventilation support from the ventilator, each setting control selectable to a level setting.

Abstract: A method of creating a non-invasive predictor of both physiologic and imposed patient effort from airway pressure and flow sensors attached to the patient using an adaptive mathematical model. The patient effort is commonly measured via work of breathing, power of breathing, or pressure-time product of esophageal pressure and is important for properly adjusting ventilatory support for spontaneously breathing patients. The method of calculating this non-invasive predictor is based on linear or non-linear calculations using multiple parameters derived from the above-mentioned sensors.

Abstract: An endotracheal tube pressure monitoring system for an endotracheal tube having at least pressure sensor in communication with a major lumen of the endotracheal tube, and a pressure monitoring subsystem in operative communication with the pressure sensor. The system may also have at least one fluid pressure line in fluid communication with the major lumen and in operative communication with the pressure monitoring subsystem to monitor the pressure of fluid within each respective fluid pressure line, and a purging subsystem in fluid communication with the fluid pressure line. Each fluid pressure line that is in fluid communication with the purging subsystem being selectively purged by the purging subsystem when pressure monitoring subsystem determines the respective pressure line has become obstructed. Purging the fluid pressure line maintains the patency of the pressure line so that accurate pressure measurements within the endotracheal tube can be obtained for calculation of parameters in lung mechanics.