There is described a method and system for measuring a level of anxiety. Measured data comprising EEG data collected from a parietal (P) EEG electrode is received. A group 8 indicator based on a power, P-power (dt), associated with a delta-theta frequency band, dt, within a delta-theta frequency range is extracted. Based on said group 8 indicator, a level of anxiety, LoA, is determined which is a value indicative of the level of anxiety of the subject.

The invention relates to medicine, The technical result of the present invention is to increase the efficiency of treatment of the respiratory system pathologies. The system includes a communication unit connected to a ventilator, a human-machine interface unit, a data processing, storage and management unit, an algorithmic unit, a pulse generation unit, a unit of electromyography electrodes and a stimulation.

The invention relates to medicine, The technical result of the present invention is to increase the efficiency of treatment of the respiratory system pathologies. The system includes a communication unit connected to a ventilator, a human-machine interface unit, a data processing, storage and management unit, an algorithmic unit, a pulse generation unit, a unit of electromyography electrodes and a stimulation.

A method includes receiving data associated with a sleep session of a user. The method also includes determining that the user is experiencing or has experienced an event based at least in part on the data. The method also includes causing pressurized air to be directed from a respiratory device to a multi-compartment bladder in response to determining that the user is experiencing or has experienced the event to aid in modifying a position of a head of the user.

Alveolar dead space of a subject is determined by measuring an end tidal partial pressure of carbon dioxide during a sequence of normal breaths of the subject and, during a sequence of deep breaths by the subject, delivering a first volume of a first gas to the subject over a first portion of each inspiration by the subject. The first volume is less than or equal to an expected alveolar volume of the subject when the subject is breathing normally. A second volume of a second gas is delivered to the subject over a second portion of each inspiration. The second gas includes a neutral gas. An end tidal partial pressure of carbon dioxide is measured during the sequence of deep breaths. The alveolar dead space is computed using the end tidal partial pressures of carbon dioxide measured during the sequence of normal breaths and the sequence of deep breaths.

A respiratory pressure therapy system for providing continuous positive air pressure to a patient via a patient interface configured to engage with at least one airway of the patient. The system includes: a flow generator configured to generate supply of breathable gas for delivery to the patient via the patient interface; at least one sensor; a display; and a computing device. The computing device is configured to: receive sensor data that is based on measured physical property of the supply of breathable gas; control, based on the received sensor data, the flow generator to adjust a property of the supply of breathable gas; receive, an input indicating assistance is needed with using the patient interface; receive one or more images of the patient with the patient interface; analyse the received one or more images; and based on the analysis, display instructions for positioning the patient interface.

A respiratory pressure therapy system for providing continuous positive air pressure to a patient via a patient interface configured to engage with at least one airway of the patient. The system includes: a flow generator configured to generate supply of breathable gas for delivery to the patient via the patient interface; at least one sensor; a display; and a computing device. The computing device is configured to: receive sensor data that is based on measured physical property of the supply of breathable gas; control, based on the received sensor data, the flow generator to adjust a property of the supply of breathable gas; receive, an input indicating assistance is needed with using the patient interface; receive one or more images of the patient with the patient interface; analyse the received one or more images; and based on the analysis, display instructions for positioning the patient interface.

To better fulfill a sleep-inducing function for a seated person, a seat device includes a pressing device provided in a seat back and configured to press a back or a waist of a seated person to induce breathing; at least one of a temperature adjusting device configured to change a temperature of a seat cushion and/or the seat back and a shape adjusting device configured to change a surface shape of the seat cushion and/or the seat back; and a controller configured to control the pressing device to press the back or the waist of the seated person at a set cycle corresponding to a breathing cycle of a person at a sleeping time, and control the at least one of the temperature adjusting device and the shape adjusting device.

A respiratory ventilators system having an inlet configured to be connected to a pressurized air or gas source; an outlet configured to be connected to a patient interface; a valve in-line between the inlet and the outlet; and a control unit configured to control the valve for controlling flow of pressurized air or gas from the source to the patient, wherein the valve includes an air or gas reservoir or accumulator incorporated into the valve body.

Disclosed herein are systems and methods for increasing performance, improving sleep and improving relaxation that involve specifically coordinating nerve stimulation of a cranial nerve (e.g. vagus nerve) in conjunction with augmented reality (AR). According to certain embodiments disclosed are systems that include an AR component that presents information or a stimulus and provides cranial nerve fiber stimulation (CNFS) at strategic times to reduce anxiety/arousal/related during user activity or scenarios and reinforce learning.