Temperature sensors are configured to sense a temperature for the sleeper and transmit temperature readings. A controller is configured to receive temperature readings; and send to a heating subsystem instructions to initiate a warming process that raises a distal temperature of the sleeper more than a proximal temperature of the sleeper. The heating subsystem that may include a heating element that, when engaged, can raise the distal temperature of the sleeper more than the proximal temperature of the sleeper.

A method and system for diagnosing, treating, and ameliorating sleep bruxism events using a positive airway pressure (PAP) system for treating obstructive sleep apnea to concurrently recognize bruxism events. At least one sensor is integrated into a therapy interface and/or headgear to detect physiological signals indicative of bruxism. In some exemplary embodiments, a loudspeaker and microphone are integrated into the interface, either near the nose or near the mouth of the patient. When integrated near the nose, the pair is used for acoustical rhinometry, and when integrated near the mouth, the pair is used for acoustical pharyngometry. In other exemplary embodiments, sound or vibration sensors are used to detect signals indicative of teeth grinding. In response to sensor detection of bruxism activity, the PAP system controller adjusts the PAP therapy settings or proposes alternative treatment modalities in order to stop or prevent bruxism events.

The invention relates to a patient interface comprising a plenum chamber, a seal-forming structure, and a positioning and stabilizing structure, as well as the method of operating the patient interface. The patient's interface is configured to leave a patient's mouth uncovered or if the seal-forming structure is configured to seal around a patient's nose and mouth, the patient interface is configured to allow the patient to breath from the ambient in an absence of the flow of pressurized. The positioning and stabilizing structure includes headgear, and the seal-forming structure and at least a portion of the headgear is formed from a one piece construction of textile material. In another embodiment, the seal-forming structure and/or the positioning and stabilizing structure includes an adaptive portion that adjusts based on usage conditions. In another embodiment, the positioning and stabilizing structure, the seal-forming structure and/or the plenum chamber includes and/or is formed of a textile material, and the textile material includes at least one magnetic thread constructed of magnetic material to provide a magnetic interaction between a first part of the patient interface and a second part of the patient interface. In another embodiment, a stiffener is coupled to the plenum chamber, the seal-forming structure, and/or the positioning and stabilizing structure. In another embodiment, at least one of the plenum chamber and the seal-forming structure includes a textile material; and wherein the textile material includes a surface structure that limits adhesion of debris. A UV cleaning receptacle of the patient interface is also disclosed.

A system and method for providing sensory relief from distractibility, inattention, anxiety, fatigue, and/or sensory issues to a user in need. The user can be autistic/neurodiverse, or neurotypical. The system can be configured to connect to a datastore storing one or more sensory thresholds specific to a user of a wearable device of the system, the sensory thresholds selected from auditory, visual or physiological sensory thresholds; record, using one or more sensors of the wearable device, a sensory input stimulus to the user; compare the sensory input stimulus with the sensory thresholds to determine an intervention to be provided to the user, the intervention configured to provide the user relief from distractibility, inattention, anxiety, fatigue, or sensory issues; and provide the intervention to the user, the intervention comprising filtering, in real-time, an audio signal presented to the user or an optical signal presented to the user.

Methods, systems and devices for reducing anxiety, including increasing relaxation and/or calm. In some variations these methods may include reducing anxiety, increase relaxation and/or calm by non-invasive temperature regulation of the frontal cortex prior to and/or during sleep. The subject may have an anxiety disorder, or may not have a diagnosed anxiety disorder.

A wearable device 100 for managing alcohol-driven violence is disclosed. The device 100 comprises a capsule C1 adapted to sense sweat of wearer and detect a level of alcohol in the sweat, a capsule C3 adapted to convert a data detected by the capsule C1 to generate signal activating a capsule C4, a capsule C2 adapted to provide power to the capsule C3, and a capsule C5 adapted to detect a muscle activity of the wearer, wherein the capsule C4 is adapted to inject a drug into the body of the wearer, when activated, and wherein the capsule C5 alerts authorities when no muscle activity is detected.

A method of displaying an operational parameter of a surgical system is disclosed. The method includes receiving, by a cloud computing system of the surgical system, first usage data, from a first subset of surgical hubs of the surgical system; receiving, by the cloud computing system, second usage data, from a second subset of surgical hubs of the surgical system; analyzing, by the cloud computing system, the first and the second usage data to correlate the first and the second usage data with surgical outcome data; determining, by the cloud computing system, based on the correlation, a recommended medical resource usage configuration; and displaying, on respective displays on the first and the second subset of surgical hubs, indications of the recommended medical resource usage configuration.

Provided are a brain stimulation system, method, apparatus and storage medium based on artificial intelligence. The system includes: a plurality of brain stimulation terminals and a cloud platform. The cloud platform is configured to, with artificial intelligence algorithm especially machine learning and deep learning, generate multi-dimensional psychological big data using physiological data and psychological state evaluation parameters gotten from the plurality of brain stimulation terminals and established models of algorithm for disease diagnosis. The brain stimulation terminal is configured to analyze the physiological data and psychological state evaluation parameters of a target subject, measure a mental state of the target subject, obtain brain stimulation parameters required for the target subject according to the mental state, and generate corresponding non-invasive brain stimulation for the target subject according to the brain stimulation parameters based on the multi-dimensional big data through the artificial intelligence algorithm.

A vaporization device includes a first portion and a second portion. The first portion includes a first body defining a first interior volume, a first half of a split-pod, a second half of a split-pod, an opening, a first heating apparatus, and a second heating apparatus. The first half of the split-pod is configured to hold a nicotine-containing liquid. The second half of the split-pod is configured to hold a non-nicotine-containing liquid. The opening separates the first half from the second half of the split-pod. The first heating apparatus is dedicated to the first half. The second heating apparatus is dedicated to the second half. The second portion includes a second body defining a second interior volume and a computing system. The computing system is disposed within the second interior volume. The computing system is configured to vary an amount of current supplied to the first and second heating apparatuses.

Algorithms for detecting endotracheal intubation and/or misplacement of endotracheal tubes in child patients during anesthesia for use with anesthesia machines, mechanical ventilators, and/or respiratory function monitors. An algorithm uses end-tidal carbon dioxide (EtCO.sub.2), and tidal volume (TV) or peak inspiratory pressure (PIP) to detect exact intubation time. Another algorithm uses respiratory parameters to identify and/or confirm the type of airway device used during mechanical ventilation, and to detect if and when an issue has arisen with use of a specific airway device to provide real-time decision support to attending medical care professionals.