The principles and embodiments of the present invention relate to methods and systems for safely providing NO to a recipient for inhalation therapy. There are many potential safety issues that may arise from using a reactor cartridge that converts NO.sub.2 to NO, including exhaustion of consumable reactants of the cartridge reactor. Accordingly, various embodiments of the present invention provide systems and methods of determining the remaining useful life of a NO.sub.2-to-NO reactor cartridge and/or a breakthrough of NO.sub.2, and providing an indication of the remaining useful life and/or breakthrough.

The disclosed system receives various physiological as well as physical information concerning a patient, and operational data from a ventilation device and medication delivery device, and provides the physiological and physical information, together with the operational data, to a neural network configured to analyze the information and data. The system receives, from the neural network, an assessment classification of the patient corresponding to at least one of a pain assessment, a sepsis assessment, and a delirium assessment of the patient based on providing to the neural network the determined physiological state of the patient, the determined physical state of the patient, the determined operational mode of the ventilator, the medication delivery information, and the received diagnostic information for the patient, and adjusts, based on the assessment classification, a ventilation parameter that influences the operational mode of a ventilator providing ventilation to the patient.

Ventilation methods and devices are disclosed. The described methods and devices can be used for treating respiratory diseases. More in particular, the teachings of the disclosure relate to methods and devices to treat victims of adult respiratory distress syndrome (ARDS). Embedded control software managing various functionalities of the disclosed ventilators is also presented.

Systems and methods are provided for detecting unacceptable accelerations by an anesthetic vaporizer, such as due to drops and mishandling. In one embodiment, a method for an anesthetic vaporizer comprises determining a quantitative acceleration of the anesthetic vaporizer based on acceleration vectors measured by an accelerometer coupled within the anesthetic vaporizer, and outputting an alert responsive to the quantitative acceleration exceeding an acceleration threshold. In this way, drop-related degradation may be identified in a timely fashion.

An improved system and method of monitoring the operation of a respiratory or surgical humidifier system. A controllable load can be connected across output terminals to a tube heating element to test the operation of a tube heating element supply circuit. A range of tests may be performed by controlling the state of one or more components and monitoring one or more sensors. Tests may be performed either during or not during therapy and either with a gas supply tube connected or not. Transient currents may also be detected and the power supply to a tube heating element can be stopped where transient currents outside a permitted range are detected.

An apparatus for delivery of a flow of gases to a user, such as a respiratory therapy apparatus, is provided. The apparatus may have first and second inlets for receiving supplementary gases flows, a blower to generate the gases flow to the user, and a controller. A valve and a sensor may be provided in the second inlet. The controller may be configured to detect the disconnection of a gases source from the second inlet, and to respond by operating the valve and/or triggering an alarm. The controller may be configured to determine whether a gases flow is being provided at one or both of the inlets, and to accordingly control an operational mode of the apparatus.

A mechanical ventilation device comprises at least one electronic controller configured to: receive ultrasound data related to a thickness of a diaphragm of a patient during inspiration and expiration while the patient undergoes mechanical ventilation therapy with a mechanical ventilator; calculate a diaphragm thickness metric based on at least the ultrasound data; and when the calculated diaphragm thickness metric does not satisfy an acceptance criterion, at least one of: output an alert indicative of the calculated diaphragm thickness metric failing to satisfy the acceptance criterion; and output a recommended adjustment to one or more parameters of the mechanical ventilation therapy delivered to the patient.

Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.

An apparatus, comprising a processor and memory storing instructions that, when executed by the processor, cause the processor to: receive ventilator data obtained from continual mechanical ventilatory support of a patient over a period of time, analyze the ventilator data to identify a plurality of breathing cycles, classify the plurality of breathing cycles into normal breathing cycles and abnormal breathing cycles, using a machine learning algorithm, detect a change in the normal breathing cycles, compared to normal breathing cycles identified by the apparatus based on ventilator data obtained from continual mechanical ventilatory support of the patient over a previous period of time, and generate output indicative of the change in the normal breathing cycles.

A respiratory device having a respiratory gas source, a control unit and a connecting device for connecting to a respiratory mask. The control unit is connected to a sensor for detecting a measurement parameter. The control unit has a step generator for specifying a stepped modification of the pressure that is generated by the respiratory gas source. The sensor measures a signal that corresponds to the pressure distribution and is coupled to an analyzer that evaluates the temporal distribution of an analysis signal that is dependent on the measuring signal. The step generator increases the pressure by a pressure step in a respiratory cycle that follows the measuring evaluation, if the analyzer determines a deviation of the analysis signal from a limit value after a predeterminable time limit has elapsed following the pressure increase. The deviation must exceed a predeterminable minimum differential in order to trigger a pressure increase.