The disclosed system receives various physiological as well as physical information concerning a patient, and operational data from a ventilation device and medication delivery device, and provides the physiological and physical information, together with the operational data, to a neural network configured to analyze the information and data. The system receives, from the neural network, an assessment classification of the patient corresponding to at least one of a pain assessment, a sepsis assessment, and a delirium assessment of the patient based on providing to the neural network the determined physiological state of the patient, the determined physical state of the patient, the determined operational mode of the ventilator, the medication delivery information, and the received diagnostic information for the patient, and adjusts, based on the assessment classification, a ventilation parameter that influences the operational mode of a ventilator providing ventilation to the patient.

The disclosed system receives various physiological as well as physical information concerning a patient, and operational data from a ventilation device and medication delivery device, and provides the physiological and physical information, together with the operational data, to a neural network configured to analyze the information and data. The system receives, from the neural network, an assessment classification of the patient corresponding to at least one of a pain assessment, a sepsis assessment, and a delirium assessment of the patient based on providing to the neural network the determined physiological state of the patient, the determined physical state of the patient, the determined operational mode of the ventilator, the medication delivery information, and the received diagnostic information for the patient, and adjusts, based on the assessment classification, a ventilation parameter that influences the operational mode of a ventilator providing ventilation to the patient.

A virtual reality (VR)-based interactive system for a neuro-meditation and neuro-concentration training. The system has a VR device with a display. The display is configured to provide a VR content. The system also includes a neural interface apparatus having a plurality of electrodes, each electrode is configured to receive a bio-signal data from a user, and a computing device having a processor. The computing device communicates with the neural interface apparatus and the VR device. The computing device also continuously receives the bio-signal data from the electrodes. The processor determines a feedback based on the bio-signal data and predetermined values and communicates the feedback to the VR device, the feedback being displayed as the VR content on the display of the VR device.

A virtual reality (VR)-based interactive system for a neuro-meditation and neuro-concentration training. The system has a VR device with a display. The display is configured to provide a VR content. The system also includes a neural interface apparatus having a plurality of electrodes, each electrode is configured to receive a bio-signal data from a user, and a computing device having a processor. The computing device communicates with the neural interface apparatus and the VR device. The computing device also continuously receives the bio-signal data from the electrodes. The processor determines a feedback based on the bio-signal data and predetermined values and communicates the feedback to the VR device, the feedback being displayed as the VR content on the display of the VR device.

Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, a biosignal parameter and ambient noise are measured. The biosignal parameter is used to determine sleep condition of a subject. The sleep condition is determined based on one or more of personalized sleep data or historical sleep data collected using a subset of society. Based on the sleep condition, an arousal threshold is determined. Based on the ambient noise and the determined sleep condition, one or more actions are taken to regulate sleep and avoid sleep disruption.

Aspects of the present disclosure provide methods, apparatuses, and systems for closed-loop sleep protection and/or sleep regulation. According to an aspect, a biosignal parameter and ambient noise are measured. The biosignal parameter is used to determine sleep condition of a subject. The sleep condition is determined based on one or more of personalized sleep data or historical sleep data collected using a subset of society. Based on the sleep condition, an arousal threshold is determined. Based on the ambient noise and the determined sleep condition, one or more actions are taken to regulate sleep and avoid sleep disruption.

A breath analyzer for detecting breathing events of a person ventilated with a respiratory gas, comprising an electronic computing and storage unit configured to receive a signal corresponding to a ventilation pressure and/or a respiratory flow and/or a tidal volume of the respiratory gas delivered to the person and, during a predetermined analysis duration, to detect a curve of the signal by a curve analyzer. A ventilator for ventilating a person with a respiratory gas, which ventilator comprises the breath analyzer and a method for detecting breathing events of a person ventilated with a respiratory gas is also described.

The subject matter described herein provides systems and techniques for enhancing a user’s performance. In particular, the physiological characteristics of the user can be altered toward target characteristics to bring about a particular physiological state in the user. Multiple physiological signals of the user may be sensed. Physiological characteristics indicative of a physiological state of the user may be determined. A differential between the physiological characteristics and selected target physiological characteristics may be determined. A selected energy signal associated with a correction action may be communicated to nerves associated with the user’s skin by outputting, using an energy generator, the energy signal toward the skin with one or more different energy types based on the differential. This may allow a particular targeted physiological state to be more rapidly brought about in the user.

The subject matter described herein provides systems and techniques for enhancing a user’s performance. In particular, the physiological characteristics of the user can be altered toward target characteristics to bring about a particular physiological state in the user. Multiple physiological signals of the user may be sensed. Physiological characteristics indicative of a physiological state of the user may be determined. A differential between the physiological characteristics and selected target physiological characteristics may be determined. A selected energy signal associated with a correction action may be communicated to nerves associated with the user’s skin by outputting, using an energy generator, the energy signal toward the skin with one or more different energy types based on the differential. This may allow a particular targeted physiological state to be more rapidly brought about in the user.

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.