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.

Disclosed is a computer controlled dosage system, for dosage adjustment for a mobile, hand held, inhaler for delivering a dosage of a medicine, is provided. The system comprises at least one measuring device for measuring at least one parameter; and a handheld mobile computer separate from the inhaler, the computer being configured to communicate with the at least one measuring device and with a remote memory for sending and receiving information to and from patient medical records of the remote memory for storage in a memory of the computer, and the computer being configured to receive a manual input for storage in the memory of the computer. The computer is configured to create a data set for setting a plurality of levels of different dosages of medicine based on the medicine used by the inhaler, the information from the patient's medical records of the remote memory, and the manual input; and the computer is further configured to store the data set in the memory of the computer. The computer is further configured to generate an indication indicating a dosage adjustment for the inhaler, based on the at least one parameter and on one of the plurality of levels of dosage of the data set, the indication indicating one of the plurality of levels of dosage of the data set as the dosage adjustment for the inhaler. A dosage regime generated by the computer controlled dosage system is also disclosed.

The invention relates to a mechanical ventilation system (10) for respiration of a patient (5), the system being adapted for providing decision support for mechanical ventilation. Control means (12) is adapted for using both first data (D1) and second data (D2), indicative of the respiratory feedback in the blood, in physiological models (MOD) descriptive of, at least, lung mechanics, and/or gas exchange in the lungs of the patient, the physiological models comprising a number of model parameters (MOD_P). The control means is further arranged for simulating the effect on one, or more, model parameters (MOD_P) of the physiological models for a suggested value of the positive end expiratory pressure (PEEP) setting for the ventilation means, and thereby provide decision support in relation to said suggested PEEP value. The invention is advantageous for providing mathematical based models of changes in physiology in response to changes in ventilator settings of the PEEP thereby allowing mathematical physiological models to predict changes in clinical variables for a given value of PEEP.

Systems and methods for one-touch ventilation mode are disclosed. In examples, settings for a medical ventilator are determined and delivered to a patient with a minimum of one input parameter. The one-touch ventilation mode may reference or apply one or more respiratory mechanics planes to determine desired ventilation parameters. In an example, the input parameter may be mapped to initial ventilation settings on a respiratory mechanics plane. During ventilation delivered according to the initial ventilation settings, ventilation data may be obtained. Based on the ventilation data, one or more ventilation strategies may be implemented, including breath type strategy, alarming strategy, triggering/cycling strategy, and PEEP strategy. Updated ventilation settings may be determined based on the ventilation data and/or the ventilation strategy.

Systems and methods for one-touch ventilation mode are disclosed. In examples, settings for a medical ventilator are determined and delivered to a patient with a minimum of one input parameter. The one-touch ventilation mode may reference or apply one or more respiratory mechanics planes to determine desired ventilation parameters. In an example, the input parameter may be mapped to initial ventilation settings on a respiratory mechanics plane. During ventilation delivered according to the initial ventilation settings, ventilation data may be obtained. Based on the ventilation data, one or more ventilation strategies may be implemented, including breath type strategy, alarming strategy, triggering/cycling strategy, and PEEP strategy. Updated ventilation settings may be determined based on the ventilation data and/or the ventilation strategy.

A system is for alarm management in connection with a lung recruitment manoeuvre performed by a breathing apparatus on a mechanically ventilated patient. The system is configured to obtain information on at least one optimized ventilation setting for the patient, determined during the lung recruitment manoeuvre, and to automatically initiate at least one alarm setting for a period of ventilation following the recruitment manoeuvre, based on the optimized ventilation setting.

A system is for alarm management in connection with a lung recruitment manoeuvre performed by a breathing apparatus on a mechanically ventilated patient. The system is configured to obtain information on at least one optimized ventilation setting for the patient, determined during the lung recruitment manoeuvre, and to automatically initiate at least one alarm setting for a period of ventilation following the recruitment manoeuvre, based on the optimized ventilation setting.

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 ΔPS based upon the modified volume error and a dynamic compliance; and producing a current pressure support value based upon the delta pressure support ΔPS and the pressure support value of the previous breath.

A portable inhalation device includes a medication storage component, a flow controller, an atomizer, a medication delivery component, and a pressure sensor. The medication storage component is configured to store medication. The flow controller is configured to cause a force to be applied to the medication stored by the medication storage component to transport the medication to the atomizer. The atomizer is configured to generate droplets from the medication. The medication delivery component includes a delivery channel extending from the atomizer to an outlet opening. The medication delivery component is configured to receive the medication in the delivery channel from the atomizer and dispense the medication via the opening. The pressure sensor is configured to detect a pressure corresponding to a flow rate of air in the delivery channel and output an indication of the detected pressure.

Devices and systems provide methods of detecting a severity change in respiratory insufficiency (RI) or chronic obstructive pulmonary disease (COPD) condition of a patient. In an example embodiment, a detection monitoring device determines one or more severity change indicators based on a measure of supplied pressure or other representative measure determined by the device. The supplied pressure may optionally be determined during pressure treatment that satisfies a target ventilation. The supplied pressure or representative data may be compared to one or more thresholds that are selected to represent a change in the condition of the RI or COPD patient such as an exacerbation of a prior condition. Results of the comparisons may trigger one or more warnings or messages to notify a patient or physician of a pending change to the patient's RI or COPD condition so that the patient may more immediately seek medical attention to treat the condition.