Abstract: Various embodiments are described herein for a controller for controlling the operation of a breathing assistance device that provides breathing assistance to a user. The controller comprises a processor that generates a respiratory index value that is determined during a current monitoring time period to detect a respiratory failure, or predict the respiratory failure when at least one PSG signal is measured. The respiratory index value is compared to a threshold to determine if the control signal needs to be updated to reduce or eliminate respiratory failure that the user is currently experiencing or to prevent a predicted respiratory failure from occurring.

Abstract: Devices, systems and methods are provided for controlling the operation of a breathing assistance device for a user. The controller may include an input for receiving sensor data to measure at least one airflow parameter of the user's airflow; a memory unit that stores at least one machine learning model and at least one classifier or predictor; and a processor that is configured to perform measurements and to generate a control signal for adjusting the operation of the breathing assistance device for a current monitoring time period by: obtaining measured air pressure and/or airflow data and measured FOT data during a current monitoring time period; performing feature extraction on the measured data to obtain feature values that are used by the machine learning model employed by the at least one classifier or predictor to determine a property of the user; and adjusting the control signal based on the determined property.

Abstract: There is disclosed a simulation system for simulating a respiratory system. The simulation system includes a variable resistance device that provides a variable resistance to the airflow it receives to simulate a variation in resistance for the respiratory system during breathing and a variable elastance device that provides a variable elastance to the airflow it receives to simulate a variation in elastance for the respiratory system during breathing.

Abstract: Various embodiments are described herein for devices, methods and systems for a breathing assistance device controller for controlling the operation of a breathing assistance device that provides breathing assistance to a user. The controller may include sensors for measuring airflow parameters of the airflow and generating measured signals; and a processor that is electronically coupled to the sensors to receive the measured signals and to generate a control signal based on the measured signals and at least one characteristic of the user's respiratory system to adjust the operation of the breathing assistance device during use.

Abstract: Devices, systems and methods are provided for controlling the operation of a breathing assistance device for a user. The controller may include an input for receiving sensor data to measure at least one airflow parameter of the user's airflow; a memory unit that stores at least one machine learning model and at least one classifier or predictor; and a processor that is configured to perform measurements and to generate a control signal for adjusting the operation of the breathing assistance device for a current monitoring time period by: obtaining measured air pressure and/or airflow data and measured FOT data during a current monitoring time period; performing feature extraction on the measured data to obtain feature values that are used by the machine learning model employed by the at least one classifier or predictor to determine a property of the user; and adjusting the control signal based on the determined property.

Abstract: Various embodiments are described herein for a controller for controlling the operation of a breathing assistance device that provides breathing assistance to a user. The controller comprises a processor that generates a respiratory index value that is determined during a current monitoring time period to detect a respiratory failure, or predict the respiratory failure when at least one PSG signal is measured. The respiratory index value is compared to a threshold to determine if the control signal needs to be updated to reduce or eliminate respiratory failure that the user is currently experiencing or to prevent a predicted respiratory failure from occurring.

Abstract: There is disclosed a simulation system for simulating a respiratory system. The simulation system includes a variable resistance device that provides a variable resistance to the airflow it receives to simulate a variation in resistance for the respiratory system during breathing and a variable elastance device that provides a variable elastance to the airflow it receives to simulate a variation in elastance for the respiratory system during breathing.

Abstract: Various embodiments are described herein for devices, methods and systems for a breathing assistance device controller for controlling the operation of a breathing assistance device that provides breathing assistance to a user. The controller may include sensors for measuring airflow parameters of the airflow and generating measured signals; and a processor that is electronically coupled to the sensors to receive the measured signals and to generate a control signal based on the measured signals and at least one characteristic of the user's respiratory system to adjust the operation of the breathing assistance device during use.

Abstract: An actuator (10, 10?, 10?) is disclosed. The actuator (10, 10?, 10?) is connected to a structural ground (12, 12?, 12?) of a forced oscillation technique device (100, 200, 300, 400, 500, 600, 700, 800, 900, 1000). The actuator (10, 10?, 10?) includes an electrical power source (16, 16?, 16?); a control device (17, 17?, 17?) connected to the electrical power source (16, 16?, 16?); a first portion (14a, 14a?, 14a?) including active material connected to the electrical power source, and a second portion (14b, 14b?, 14b?) including non-active, passive material connected to the first portion (14a, 14a?, 14a?). The first portion (14a, 14a?, 14a?) includes at least one plate-shaped member (18, 18?, 18?). The second portion (14b, 14b?, 14b?) includes a ring member (24, 24?, 24?) connected to and circumscribing a mesh screen (26, 26?, 26?). A forced oscillation technique device (100, 200, 300, 400, 500, 600, 700, 800, 900, 1000) is also disclosed.