An emotional or mental belief system reprogramming system is disclosed. The system includes a digital framework including a pattern recognition module configured to identify and recommend reprogramming and alter a health status of a user, the digital framework includes (1) a digitally recorded library of human emotions, unconscious agendas, perceptions, beliefs, and mindsets of a control group of users selected from a population of users (2) a question engine configured to interrogate the user using a library of predetermined questions and to identify a plurality of underlying unconscious agendas of the user that generate behavior of the user and associated negative emotions of the user, (3) an expressive, experiential digital agent having digitized color, gestures, expressions, movements, emotions, beliefs, intent, intuition, and haptic effects, the digital agent configured to interact with the user in real time, to ask questions, to engage the user.

An emotional or mental belief system reprogramming system is disclosed. The system includes a digital framework including a pattern recognition module configured to identify and recommend reprogramming and alter a health status of a user, the digital framework includes (1) a digitally recorded library of human emotions, unconscious agendas, perceptions, beliefs, and mindsets of a control group of users selected from a population of users (2) a question engine configured to interrogate the user using a library of predetermined questions and to identify a plurality of underlying unconscious agendas of the user that generate behavior of the user and associated negative emotions of the user, (3) an expressive, experiential digital agent having digitized color, gestures, expressions, movements, emotions, beliefs, intent, intuition, and haptic effects, the digital agent configured to interact with the user in real time, to ask questions, to engage the user.

The present application discloses and describes neurostimulation systems and methods that include, among other features, (i) neural stimulation through audio with dynamic modulation characteristics, (ii) audio content serving and creation based on modulation characteristics, (iii) extending audio tracks while avoiding audio discontinuities, and (iv) non-auditory neurostimulation and methods, including non-auditory neurostimulation for anesthesia recovery.

The present application discloses and describes neurostimulation systems and methods that include, among other features, (i) neural stimulation through audio with dynamic modulation characteristics, (ii) audio content serving and creation based on modulation characteristics, (iii) extending audio tracks while avoiding audio discontinuities, and (iv) non-auditory neurostimulation and methods, including non-auditory neurostimulation for anesthesia recovery.

A method of determining a duration of safe apnoea. Information is obtained relating to a respiratory indicator, and a duration of safe apnoea is determined from the obtained information. A respiratory therapy system has one or more patient interfaces. A processor is configured to determine a duration of safe apnoea based on obtained information relating to a respiratory indicator.

Systems and methods for partial aortic occlusion are provided. The system may include a catheter having an expandable aortic blood flow regulation device disposed on the distal end of the catheter for placement within an aorta of a patient, and a catheter controller unit that causes the device to expand and contract to restrict blood flow through the aorta. The system also may include sensors for measuring blood pressure distal and proximal to the expandable device. The system further may include non-transitory computer readable media having instructions stored thereon, wherein the instructions, when executed by a processor coupled to the sensors, cause the processor to estimate aortic blood flow based on the measured blood pressures and corresponding waveforms, compare the estimated aortic blood flow with a target aortic blood flow range, generate an alert if the estimated aortic blood flow falls outside the target aortic blood flow range, and cause the catheter controller unit to adjust expansion and contraction of the expandable device to adjust an amount of blood flow through the aorta if the estimated aortic blood flow falls outside the target aortic blood flow range.

A blood filtration system can reduce the amount of plasma constituents (e.g., water and/or electrolytes) in the blood of the patient, and accordingly increase the hematocrit value of the patient. The blood filtration system (e.g., a controller, or the like) can determine a hematocrit value of a patient. The blood filtration system can determine a venous pressure of vasculature of a patient. The blood filtration system can compensate for pressure head in a component of a blood circuit (e.g., a withdrawal line of a catheter), for example to improve the accuracy of the venous pressure determination. The blood filtration system can determine one or more resistance characteristics of a blood circuit for the blood filtration system. The resistance characteristics can correspond to a resistance to a flow of blood through a component of the blood circuit.

An electronic device and method for providing information for stress relief are disclosed. The electronic device includes a user interface, at least one sensor, at least one processor operatively connected to the user interface and the at least one sensor, and a memory operatively connected to the at least one processor. The memory stores instructions to, when executed, cause the at least one processor to collect stress-related information through at least a part of the at least one sensor, identify contextual information of a user when stress calculated based on the collected stress-related information satisfies a designated condition, and guide at least one of a plurality of stress relief methods through the user interface at least based on the identified contextual information.

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.