A method includes applying, via a respiratory therapy system, initial therapy settings for a user during a first sleep session in which the user uses the respiratory therapy system. First physiological data, which is received from one or more sensors, is generated during the first sleep session. Modified therapy settings are applied, via the respiratory therapy system, during a second sleep session of the user. Second physiological data is received from the one or more sensors. The second physiological data is generated by the one or more sensors during the second sleep session. A set of sleep-related parameters is determined based on changes between the first physiological data and the second physiological data. One or more of a recommended therapy or recommended therapy settings is determined based on the set of sleep-related parameters.

The invention discloses a noninvasive spontaneous respiratory monitoring device, which comprises a sensing patch that can be placed in proximity to the nasal airway of a patient. The sensing patch measures both the flow profile and carbon dioxide concentration of a patient and wirelessly transmits the acquired data to the control circuitry for synchronizing the respiratory support of a mechanical ventilator. The device can also be used as a standalone unit for monitoring for the diagnosis purposes the spontaneous respiratory function of a patient with respiratory dysfunction.

The present disclosure relates to a system and method for use of acoustic reflectometry information in ventilation devices. The system and method includes a speaker to emit sound waves into an intubated endotracheal tube (“ETT”) and a microphone to detect returning acoustic reflections. In addition, the system and method includes a reflectometry device in communication with a ventilation device for analyzing timings and amplitudes of the returning acoustic reflections to determine a size of a passageway around an ETT tip, location and size of ETT obstructions, and relative movement of the ETT tip within a trachea. The reflectometry device is also configured to determine a resistance parameter representative of resistance to actual flow of air through the ETT based upon a function of the diameter of the ETT, length of the ETT, and percent obstruction of the ETT, where the resistance parameter is used to calculate the tracheal pressure.

A pump arrangement for powering a pump in providing a controlled volume of water to a drip nozzle in a drip-feed humidifier. The pump arrangement includes: a pump having a solenoid; a processing unit; and a power supply electrically connected to the solenoid via a switch which is controlled by the processing unit. The power supply is structured to supply power to the solenoid via the switch. The processing unit is programmed to modulate the power provided to the solenoid via the switch such that the power is supplied to the solenoid according to a mirror image power profile for each actuation of the solenoid for retracting the armature. The mirror image power profile includes: an initial portion which decreases at a third overall rate, an intermediate portion which decreases at a second overall rate different than the third overall rate, and a final portion which increases at a first overall rate.

The present invention relates to a system for real-time determination of a local strain of a lung during artificial ventilation. The system comprises a device for electrical impedance tomography (EIT), which device is configured to capture an electrical impedance distribution along at least one two-dimensional section through a human thorax, and further comprises a device for assigning the captured electrical impedance distribution, which device is configured to divide the captured electrical impedance distribution at different times during the artificial ventilation into a multiplicity of EIT pixels and to assign a specific value of the electrical impedance at a specific time to a specific EIT pixel.

An intubation assistance device includes an electronic controller configured to: generate a patient respiratory tract geometry model of at least a portion of a human respiratory tract by inputting one or more patient variables into a statistical shape model (SSM) of at least a portion of the human respiratory tract; select a recommended endotracheal tube (ETT) size by modeling at least one ETT model inserted into the patient respiratory tract geometry model to form a virtual fit model and estimating at least one fit parameter based on the virtual fit model; and display the recommended ETT size on a display device.

A high flow therapy system for delivering heated and humidified respiratory gas to an airway of a patient includes a respiratory gas flow pathway for delivering the respiratory gas to the airway of the patient by way of a non-sealing respiratory interface; wherein flow rate of the respiratory gas is controlled by a microprocessor, a mixing area for mixing a first gas and a second gas in the respiratory gas flow pathway, a humidification area downstream of the mixing area and configured for humidifying respiratory gas in the respiratory gas flow pathway, and a heated delivery conduit for minimizing condensation of humidified respiratory gas.

A ventilator system is capable of displaying complex information patterns in a GUI, thereby allowing a clinician to get subtract complex information from multiple parameters inputs.

A ventilator includes electronic control circuitry configured to control a supply of breathing gas for a plurality of respiratory cycles, measure a volume received by the patient in each of the plurality of respiratory cycles, and determine, for each cycle of the plurality of respiratory cycles, a cycle score corresponding to a deviation between the volume of the cycle and a predetermined target volume. The determined cycle score can be selected from a predetermined number of cycle scores that span positive and negative numbers based on the deviation. A pressure step value can be determined based on a plurality of cycle scores corresponding to the plurality of respiratory cycles, and a current pressure of the breathing gas is adjusted by an amount corresponding to the determined pressure step value. The pressure step value may be generated by dividing a sum of the plurality of cycle scores by a sample size.

Secretions that have accumulated at or near an airway of a subject as the subject is being mechanically ventilated are removed by suctioning. Before, during, and/or after the removal of the secretions, steps are taken to mitigated the impact of the suctioning used for secretion removal on the subject. As such, the timing of suction used to remove secretions may be influenced or controlled, ventilation of the subject during suction may be adjusted, ventilation of the subject prior to secretion removal may be adjusted to prepare the lungs of the subject for secretion removal, ventilation of the subject subsequent to suction for secretion removal may be adjusted, and/or other techniques for reducing the impact of suctioning for secretion removal on the subject may be implemented.