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.

Methods, systems and apparatus for inducing and verifying the level of neural entrainment at any target frequency, through a combination of biofeedback mechanisms, data analysis, and modulation of synergistic combinations of adaptable stimuli.

Methods, systems and apparatus for inducing and verifying the level of neural entrainment at any target frequency, through a combination of biofeedback mechanisms, data analysis, and modulation of synergistic combinations of adaptable stimuli.

Ventilation system (having a ventilator and having a diagnostic device, wherein the ventilator comprises a ventilation unit for generating a respiratory gas flow for ventilation and a detection unit (for detecting a ventilation signal characteristic for the respiratory gas flow over time. The diagnostic device comprises a sensor unit for detecting a diagnostic signal over time. The synchronization unit is operationally connected to the detection unit and the sensor unit and is suitable and configured for studying a time curve of the ventilation signal and a time curve of the diagnostic signal respectively for a signal change caused by the same event and bringing the curve of the ventilation signal and the curve of the diagnostic signal into chronological correspondence so that the event occurs simultaneously in both signal curves.

A method includes receiving, from a first sensor, first physiological data associated with a first sleep session of a user. The method also includes receiving, from a sensor, second physiological data associated with a first sleep session of a user. The method also includes determining a first set of sleep-related parameters associated with the first sleep session of the user based at least in part on the first physiological data. The method also includes determining a second set of sleep-related parameters associated with the first sleep session of the user based at least in part on the second physiological data. The method also includes calibrating the second sensor based at least in part on a comparison between the first set of sleep-related parameters and the second set of sleep-related parameters.

A method includes receiving, from a first sensor, first physiological data associated with a first sleep session of a user. The method also includes receiving, from a sensor, second physiological data associated with a first sleep session of a user. The method also includes determining a first set of sleep-related parameters associated with the first sleep session of the user based at least in part on the first physiological data. The method also includes determining a second set of sleep-related parameters associated with the first sleep session of the user based at least in part on the second physiological data. The method also includes calibrating the second sensor based at least in part on a comparison between the first set of sleep-related parameters and the second set of sleep-related parameters.

A system and method for determining an access trajectory to a target site to safely place a surgical access instrument (e.g., guide wire, dilator, cannula, etc.) through a tissue (e.g., muscle, fat, brain, liver, lung, etc.) without damaging nearby neurovascular structure is described herein. The trajectory determination system includes a nerve stimulation probe and a dilator guide having a plurality of guide channels and registerable to an operating table in a fixed orientation. Motor nerve stimulation (e.g., EMG, MMG) is performed with the stimulation probe positioned in each of said plurality of guide channels to generate a map of nerve locations within intervening anatomical structures (e.g., muscle, bone, etc.) between the dilator guide and the surgical target site. Available access pathways are determined based on the nerve location data and displayed on a display unit.

This invention generally provides two tactile stimulation modules, or “tappers”. One tapper is held by a person in each of his hands. Alternatively, a tapper is secured to each wrist or to other parts of the body on opposite sides. Each tapper is powered by a rechargeable battery, and contains both a tactile stimulation transducer, such as an electric motor having either a balanced or unbalanced mass on its output shaft, and a transceiver that communicates with a host or master. Each tapper includes at least one control button and a status indicator. Each tapper contains a micro-controller that performs tasks such as communication, motor activation, user monitoring and control, battery monitoring, low-power sleep, and algorithm execution. At least one tapper can contain at least one optional sensor, which measures a physiological function. Measurements can be used to modify performance of the tactile stimulation transducers.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.