Abstract: A system for determining a parameter of respiratory mechanics in the presence of an intrinsic positive end-expiratory pressure during a ventilator support of a patient is provided. The system includes a computer system that comprises one or more in physical processors programmed with computer program instructions which, when executed cause the computer system to: determine breath segmentation data from airway flow information of the patient and airway pressure information of the patient; and determine the parameter of respiratory mechanics in the presence of the intrinsic positive end-expiratory pressure using the determined breath segmentation data. The parameter of respiratory mechanics includes one or more of the following: respiratory resistance, respiratory elastance, respiratory compliance, the intrinsic positive end-expiratory pressure, a pressure inside the alveoli, and an equivalent pressure generated by the respiratory muscles of the patient.

Abstract: According to an aspect, there is provided a system for determining a level of oxygen consumption of a patient, comprising: an inhalation limb configured to transport a first gas for inhalation by a patient; an exhalation limb configured to transport a second gas exhaled by the patient; a patient interface assembly connected to the inhalation limb and the exhalation limb, the patient interface assembly to transport the first gas to the patient and the second gas from the patient; a first oxygen sensor configured to measure a concentration of oxygen in the second gas at a first sampling region; a first carbon dioxide sensor configured to measure a concentration of carbon dioxide in the second gas at a second sampling region; a flow rate sensor configured to measure a flow rate of the first gas or the second gas; and a processor configured to determine a level of oxygen consumption of the patient using an indication of a concentration of oxygen in the first gas, an indication of a concentration of carbon dioxide

Abstract: The present disclosure pertains to a system and method for monitoring lung disease in a patient that is based on information that is derivable from home therapy devices including a ventilation therapy device and an oxygen saturation monitor such as a pulse oximeter. The measured parameters are used to model shunt fraction and a volume of dead space. Based on changes in gas exchange and results of a nitrogen washout test, a change in gas exchange impairment in the patient is observed and is then used to determine progression of a disease, identify a cause of the impairment, and/or to guide treatment of the patient.

Abstract: In an embodiment, a method is described. The method comprises obtaining an indication of a speech pattern of a subject and using the indication to determine a predicted time of inspiration by the subject. A machine learning model is used for predicting the relationship between the speech pattern and a breathing pattern of the subject. The machine learning model can then be used to determine the predicted time of inspiration by the subject. The method further comprises controlling delivery of gas to the subject based on the predicted time of inspiration by the subject.

Abstract: A ventilation device includes a mechanical ventilator (10), respiratory sensors (30, 32) configured to acquire measurements of respiratory variables including at least measurements of airway pressure and airway flow, and an electronic processor (14) programmed to perform a ventilation method including: operating the mechanical ventilator to provide mechanical ventilation controlled using measurements acquired by the respiratory sensors; performing a pause maneuver comprising closing at least one of an inhalation valve (38) and an exhalation valve (40) for a pause interval and estimating a respiratory mechanics index from one or more respiratory system parameters estimated from measurements acquired by the respiratory sensors during or after the pause interval; and triggering a pause maneuver in response to detecting a change in the estimated respiratory mechanics index.

Abstract: A computer-implemented method is described. The method includes receiving an indication and determining a subject's oxygen consumption based on the indication. The indication refers to an oxygen fraction in a sample of inhalation gas delivered by a ventilator for inhalation by a subject. The indication further refers to an oxygen fraction in a sample of exhalation gas exhaled by the subject. The indication further refers a measurement of a flow rate of the exhalation gas.

Abstract: The present disclosure describes a system for metabolic monitoring comprising: collecting exhaled gas from nasal airways of a subject; a mixing chamber for receiving a portion of the exhaled gas; a plurality of sensors for outputting signals related to gas parameters related to inhaled gas and exhaled gas during one or more breaths; and processors configured to determine a flow rate of gas in the interface appliance; determine pressure changes near the mouth of the subject to detect mouth breathing of the subject; determine concentration measurements of O2 and CO2 of the portion of the exhaled gas in the mixing chamber, and discard concentration measurements corresponding to mouth breathing; determine a rate of oxygen consumption VO2 and a carbon dioxide production VCO2 of the subject based on the determined flow rate, the CO2 concentration, and the determined O2 concentration.

Abstract: Described herein are methods, devices and systems for predicting ventilator associated events (VAEs). In an example, data of a patient including one or more features useful in predicting VAEs is accessed and the features are extracted. The extracted features are evaluated automatically to determine a probability that a VAE will occur. If it is determined, based on the evaluating, that a VAE has a probability of occurring that exceeds a threshold, an indication that the VAE is predicted to occur is provided. Other examples are disclosed and claimed.

Abstract: The present disclosure pertains to a system (10) configured to automatically set the positive end expiratory pressure (PEEP) during mechanical ventilation (800). The system uses a measured relationship between transpulmonary pressure and lung volume (804) to set PEEP (808) such that mechanically assisted breaths are delivered more effectively to open airways (e.g., tidal breaths will be delivered to airways that consist of alveoli that have not contracted or collapsed at the end of expiration) (810). Furthermore, the system is configured to sense (18, 804) when the lungs may be either hyperextended and/or undergoing cyclic atelectasis in order to prevent trauma or injury to the lung's fibrous tissue. The system is configured to perform recruitment and/or continuous monitoring and adjustment of the PEEP setting to maintain an open lung.

Abstract: A mechanical ventilation device (10) includes a mechanical ventilator. At least one airway sensor (24, 26) is configured to measure at least one of airway pressure and airway air flow as a function of time for a patient on the mechanical ventilator. At least one microprocessor (28, 30) is programmed to analyze at least one of airway pressure and airway air flow measured by the airway sensor to detect a spontaneous respiration anomaly in respiratory muscle pressure as a function of time generated by a patient on the mechanical ventilator. A display component (22) is configured to display an indication of a spontaneous respiration anomaly detected by the anomaly detection component.

Abstract: A respiratory monitoring apparatus (10) includes a central venous pressure sensor (24) configured to measure a central venous pressure (CVP) signal of a patient. At least one processor (32, 34, 36, 38, 40, 42, 44, 58) is programmed to process the CVP signal to generate respiratory information for the patient by operations including: segmenting the CVP signal based on detected breath intervals; calculating a surrogate muscle pressure signal from the segmented CVP signal; and filtering the surrogate muscle pressure signal to remove a cardiac activity component a cardiac activity component of the surrogate respiratory muscle pressure signal.

Abstract: A method for controlling a ventilator to provide variable volume (VV) with average volume assured pressure support (AVAPS), including: producing a VV target volume using a VV distribution function; producing a volume error Verror that is the difference between the VV target volume and a measured volume of the previous breath; scaling the volume error Verror; producing a VV target difference as the difference between VV target volume and the VV target volume of the previous breath; producing a modified volume error by adding the VV target difference to the scaled volume error Verror; producing a delta pressure support ?PS based upon the modified volume error and a dynamic compliance; and producing a current pressure support value based upon the delta pressure support ?PS and the pressure support value of the previous breath.

Abstract: Respiratory variables are estimated on a per-breath basis from airway pressure and flow data acquired by airway pressure and flow sensors (20, 22). A breath detector (28) detects a breath interval. A per-breath respiratory variables estimator (30) fits the airway pressure and flow data over the detected breath interval to an equation of motion of the lungs relating airway pressure, airway flow, and a single-breath parameterized respiratory muscle pressure profile (40, 42) to generate optimized parameter values for the single-breath parameterized respiratory muscle pressure profile. Respiratory muscle pressure is estimated as a function of time over the detected breath interval as the single-breath parameterized respiratory muscle pressure profile with the optimized parameter values, and may for example be displayed as a trend line on a display device (26, 36) or integrated (32) to generate Work of Breathing (WoB) for use in adjusting settings of a ventilator (10).

Abstract: In respiratory monitoring, a breathing cycle detector (44) detects a breath interval in airway pressure and/or flow data. A respiratory parameters estimator and validator (30) asynchronously fits the airway pressure and airway flow data to an equation of motion of the lungs relating airway pressure and airway flow to generate asynchronously estimated respiratory parameters for the breath interval, using a sliding time window that is not synchronized with the breath interval. The asynchronously estimated respiratory parameters for the breath interval are validated using at least one physiological plausibility criterion defined with respect to the breath interval. Responsive to failure of the validation, the airway pressure and airway flow data are synchronously fitted to the equation of motion of the lungs to generate synchronously estimated respiratory parameters for the breath interval. The synchronous fitting is performed in a time window aligned with the breath interval.

Abstract: A computer-implemented method is described. The method includes receiving an indication and determining a subject's oxygen consumption based on the indication. The indication refers to an oxygen fraction in a sample of inhalation gas delivered by a ventilator for inhalation by a subject. The indication further refers to an oxygen fraction in a sample of exhalation gas exhaled by the subject. The indication further refers a measurement of a flow rate of the exhalation gas.

Abstract: The invention discloses a computer-implemented method for monitoring an intubated patient (104), the method comprising receiving, from one or more sensors (110, 112) associated with the intubated patient, data relating to the intubated patient; determining a likelihood of self-extubation by the intubated patient based on the received data; and responsive to determining that the likelihood of self-extubation is greater than a defined threshold, generating an alert signal.

Abstract: The present disclosure pertains to a system and method for monitoring lung disease in a patient that is based on information that is derivable from home therapy devices including a ventilation therapy device and an oxygen saturation monitor such as a pulse oximeter. The measured parameters are used to model shunt fraction and a volume of dead space. Based on changes in gas exchange and results of a nitrogen washout test, a change in gas exchange impairment in the patient is observed and is then used to determine progression of a disease, identify a cause of the impairment, and/or to guide treatment of the patient.

Abstract: The present disclosure pertains to a system for metabolic measurements, the system comprising: a metabolic monitor configured to determine first concentration measurements of O2 and CO2 in a portion of gas exhaled by a subject during one or more breaths; and determine a first rate of O2 consumption (VO2) and a first CO2 volume production (VCO2) of the subject during the one or more breaths based on the determined first O2 concentration and the determined first CO2 concentration; a CO2 monitor configured to determine second CO2 concentration measurements in the exhaled gas during the one or more breaths; and determine second CO2 volume production (VCO2) of the subject based on the measured second CO2 concentration; and processors configured to determine a correction factor based on the determined first VCO2 and the second VCO2; and determine a corrected first VO2 using the correction factor and the first VO2.

Abstract: A system and method for determining a patient condition includes receiving sensor information over an observation period, generating one or more metrics based on the sensor information, comparing the one or metrics to reference information to determine deviation information, and generating a risk score indicating a probability that a patient is experiencing an COPD-related event based on the deviation information. The sensor information is received from one or more sensors at predetermined locations of a patient location.

Abstract: The present disclosure describes a system for metabolic monitoring comprising: collecting exhaled gas from nasal airways of a subject; a mixing chamber for receiving a portion of the exhaled gas; a plurality of sensors for outputting signals related to gas parameters related to inhaled gas and exhaled gas during one or more breaths; and processors configured to determine a flow rate of gas in the interface appliance; determine pressure changes near the mouth of the subject to detect mouth breathing of the subject; determine concentration measurements of O2 and CO2 of the portion of the exhaled gas in the mixing chamber, and discard concentration measurements corresponding to mouth breathing; determine a rate of oxygen consumption VO2 and a carbon dioxide production VCO2 of the subject based on the determined flow rate, the CO2 concentration, and the determined O2 concentration.