The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

A patient support apparatus, such as a hospital bed, communicates with an electronic medical record (EMR) system in healthcare facility. The hospital bed includes a patient support structure to support a patient, a graphical user interface coupled to the patient support structure, and control circuitry coupled to the graphical user interface. The graphical user interface displays at least one input that may be used by a caregiver to chart data into an electronic medical record (EMR) of a patient supported by the patient support structure.

A nerve stimulation system including a stimulation probe including a handle and a stimulation head at an end of the handle; a reference electrode; and a control system in communication with the stimulation probe and the reference electrode, the control system configured to generate an electrical stimulation signal that, when delivered to a skin surface of a patient using the stimulation probe, induces an activation potential in a plurality of nociceptors while remaining below a threshold that induces a muscle contractile response.

An apparatus for assessing the severity of stenosis in a blood vessel includes an elongate body including a distal portion and a centering assembly. The centering assembly is actuatable to selectively center the elongate body in the vessel. A pressure sensor is disposed adjacent the centering assembly and is configured to detect fluid pressure in the vessel. A processing system receives the measured pressure from the pressure sensor, receives data representing the cross-sectional area of the vessel, receives data representing the size of the distal portion, calculates a offset correlation based on the size of the distal portion and based on the size of the vessel, and calculates a fractional flow reserve (FFR) for the vessel as an index of stenosis severity taking into account the offset correlation and the measured fluid pressure from the pressure sensor.

A medical system is disclosed. The medical system can include a patient monitoring device, a patient information system, and a mobile application. The patient monitoring device can be coupled to a patient to monitor one or more physiological parameters. The patient information system can allow the patient to communicate with a clinician. The patient information system can also provide information regarding schedules, medications, and procedures to the patient. The mobile application can be communicatively coupled with the patient monitoring device and the patient information system. The mobile application can allow a clinician to receive, view, and send information to or from the patient monitoring device and the patient information system.

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.

Systems and methods for providing assistance to a surgeon during an implant surgery are disclosed. A method includes defining areas of interest in diagnostic data of a patient and defining a screw bone type based on the surgeon's input. Post defining the areas of interest, salient points are determined for the areas of interest. Successively, an XZ angle, an XY angle, and a position entry point for a screw are determined based on the salient points of the areas of interest. Successively, a maximum screw diameter and a length of the screw are determined based on the salient points. Thereafter, the screw is identified and suggested to the surgeon for usage during the implant surgery.

A method includes capturing, using an Internet of Things (IoT) device, real-time video of a user performing an exercise associated with a first exercise class. Real-time video of the user is displayed, via a display, concurrently with video of an instructor, to provide a visual comparison of the user to the instructor. Image analysis of the real-time video of the user is performed to determine a performance of the user, and a representation thereof is displayed. Biometric data associated with the user is received at the IoT device from a wearable device at multiple points in time. Heart rates are identified based on the biometric data, and scores based on the heart rates are displayed via the display. A recommendation for a second exercise class different from the first exercise class is determined based on a profile of the user, and displayed via the display.

The present invention relates to a digital content-based method for providing therapeutics information, the method comprising: a first step of performing stimulation on a brain of a user to obtain fNIRS (functional near-infrared spectroscopy) data of the user; a second step of extracting a first brain activation area from a plurality of brain areas of the user using the obtained fNIRS data; a third step of determining a first brain state of the user, based on the first brain activation area; a fourth step of providing the user with a content determined corresponding to the first brain state determined in the third step under an XR (Extended Reality) environment; a fifth step in which the user performs a mission corresponding to the content; a sixth step of extracting a second brain activation area from the plurality of brain areas with reference to the fNIRS data of the user following performing the mission; and a seventh step of determining a second brain state of the user, based on the second brain activation area; an eighth step of determining information related to amelioration of the brain state of the user.

Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.