A ventilator includes a bidirectional breath detection airline and a flow outlet airline. The flow outlet airline includes an airline outlet. The flow outlet airline is configured to be connected to an invasive ventilator circuit or a noninvasive ventilator circuit. The breath detection airline includes airline inlet. The airline inlet is separated from the airline outlet of the flow outlet airline. The ventilator further includes a pressure sensor in direct fluid communication with the breath detection airline. The pressure sensor is configured to measure breathing pressure from the user and generate sensor data indicative of breathing by the user. The ventilator further includes a controller in electronic communication with the pressure sensor. The controller is programmed to detect the breathing by the user based on the sensor data received from the pressure sensor.

Methods and apparatus, such as a controller of a respiratory therapy device, generate a signal representing an estimate of flow rate of gas flow from the device. The respiratory therapy device may include a motor-operated blower. The method may include receiving in the controller, signals generated by a set of sensors, including measures of pressure and frequency (e.g., speed) of the motor. The controller may be configured to compute an entrained air density function and generate the estimate signal based on a function of the measures of pressure and frequency, and the entrained air density function. The entrained air density function may apply signals from additional sensors, such as atmospheric pressure, gas temperature, and ambient relative humidity, to compute atmospheric density. Control operations of the therapy device may then be based on the estimated signal, which may be applied to assess accuracy of a signal from a flow sensor.

A ventilation monitoring system includes one or more processors configured to receive data from a sensor positioned along a breathing circuit during a mechanical ventilation procedure for a patient. The one or more processors are also configured to analyze the data to determine respective concentrations of ions at the sensor and to calculate a detected ratio of the respective concentrations of the ions at the sensor. The one or more processors are also configured to compare the detected ratio to an expected ratio to determine a condition of the patient and to output a notification to indicate the condition of the patient.

This disclosure describes systems and methods for providing novel adaptive base flow scheduling during ventilation of a patient to optimize the accuracy of estimated exhaled tidal volume. Further, this disclosure describes systems and methods for providing novel adaptive inspiratory trigger threshold scheduling during the novel adaptive base flow scheduling.

A system adapted to regulate pressure of a flow of breathable gas generated by a motorized blower fan. The system may include a flow estimation analyzer adapted to receive a speed signal representative of a speed of the fan and estimate a parameter representative of the flow of breathable gas (e.g., a flow rate of the breathable gas). The parameter may be determined by inputting the speed signal into a function (e.g., an equation, matrix, or lookup table), which may be selected from a plurality of predetermined functions. The predetermined function may be selected based upon a specific characteristic of the speed signal as identified at the time of estimation of the parameter representative of flow.

Methods, systems, and devices for generating optimal knob settings for ventilators using machine learning techniques are described. A system may collect a set of data associated with a target subject. The system may select a protocol based on the set of data, the protocol including settings associated with delivering therapy to the target subject via a device. The system may perform a control measure in response to selecting the protocol. Performing the control measure includes delivering the therapy to the target subject, via the device, based on the protocol. The set of data may include physiological information associated with the target subject or demographics information associated with the target subject.

The present invention relates to a plurality of ventilation devices, to ventilation devices having visualization apparatuses, and to methods for operating the ventilation devices. The intent is to minimize the energy input into the at least one airway of a patient as a result of the ventilation.

Provided is a configuration capable of executing a detection test for a comfort level including the quality of sleep, which is measurable at home without requiring the measurement of brain waves or electrocardiogram. The respiratory waveform of a subject during sleep is continuously measured and recorded from the respiratory gas flow, etc., and is window-Fourier transformed at each measurement time to generate a frequency spectrum, and a bandwidth including a respiratory frequency is extracted. The index indicating the regularity of the respiratory period of the subject is also calculated at each time point during the sleep, and the time-dependency of this index during the sleep is represented as a graph. A medical device includes a sleep evaluation system equipped with a control means for performing control so that a sleep cycle repeated at a cycle of about 90 minutes is clearly observed if the comfort level including the quality of sleep of the subject is favorable.

A mechanical ventilation device comprising at least one electronic controller configured to receive imaging data and transpulmonary pressure data associated with a lung of a patient; perform deformable image registration of the inhalation image and the exhalation image to produce a relative compliance or elasticity map of the lungs; convert the relative compliance or elasticity map of the lungs to a quantitative compliance or elasticity map of the lungs based on the inhale transpulmonary pressure and the exhale transpulmonary pressure; and display the information relating to or derived from the quantitative compliance or elasticity map on a display device.

A system for obtaining and providing enhanced PAP metrics of a patient's sleep period includes: a pressure support device for use in providing a flow of breathing gas to the patient; a processing unit; and a number of auxiliary devices in wireless communication with the processing unit. Each auxiliary device of the number of auxiliary devices is structured to detect and collect sleep-related data of the patient. The processing unit is programmed to: receive data obtained by a number of sensors of the pressure support device during operation of the pressure support device in providing the flow of breathing gas to the patient; receive supplemental data obtained by the number of auxiliary devices while the pressure support device is not providing the flow of breathing gas to the patient; and determine the enhanced PAP metrics of the sleep period of the patient utilizing the data and the supplemental data.