Systems and methods for screening a subject for neuropathology associated with a condition. The method can include providing neurophysiological stimuli to the subject, measuring response by the subject to the neurophysiological stimuli, comparing the measured responses to a reference, determining whether the subject demonstrates abnormal or changed responses to the neurophysiological stimuli according to whether the measured responses differ from the individual's baseline or from the reference by one or more thresholds, and providing an alert according to whether the subject has abnormal or changed responses to the neurophysiological stimuli, wherein the alert comprises an intervention associated with the condition.

Apparatus and method are provided to collect and analyze heartbeat waveforms. In one novel aspect, the heartbeat waveforms are collected from wearable devices. In one embodiment, the wearable device collects heartbeat waveforms by attaching the device to the patient for a long period and sends the collected waveforms to a receiver through a wireless network. In another novel aspect, an application program is installed in a smart device to receive heartbeat waveforms from one or more wearable devices. The application program either relays the received waveform to a remote processing center or processes the data before sending. In another novel aspect, an analysis method compares received patient's current heartbeat waveform with historic data. In one embodiment, the historic data are stored in a cloud-based database. In another novel aspect, the remote processing center is an open platform data center, which takes in certified third party inputs.

An electronic device and a method for controlling the same are provided. The electronic device includes a communicator including circuitry, a first sensor configured to detect movement information of the electronic device, a memory including a first determination module configured to determine whether a user carries the electronic device and a second determination module configured to determine a detecting method for detecting a user location, and a processor configured to identify whether a user of the electronic device carries the electronic device based on the movement information of the electronic device obtained by the first sensor by using the first determination module, and determine a detecting method for detecting location information of the user according to whether the user carries the electronic device by using the second determination module.

When it comes to monitoring human health, today's consumers are limited to so called “health trackers,” which count steps and calculate calorie burns. Traditional health trackers are only capable of measuring heart rate and are limited to external measurements. These devices are not capable of obtaining the internal body data and do not have access to human fluids. The personal health shield personal cloud case cover (or “health PCCC”) can not only analyze human fluids but also fluids being consumed by the user (food and drinks). The data collected from the fluids is then compared to a cloud or local data base. The results are displayed on a phone, tablet, personal computers, television, or any other device either mounted in the PCCC or connected to the health PCCC.

An intraoral imaging system comprising an intraoral adapter. The intraoral adapter may be operably coupled to a mobile device. The intraoral adapter may comprise an elongated housing comprising a viewing channel. The viewing channel may define a field of view of an intraoral region of a subject's mouth for intraoral scanning using a camera of a mobile device. The elongated housing may comprise a flange that is positioned outside of the field of view of the intraoral region of the subject's mouth. The intraoral imaging system may further comprise an image processing unit configured to (i) process a plurality of intraoral images and/or videos captured using the camera of the mobile device, and (ii) determine a dental condition of the subject based at least in part on the plurality of intraoral images and/or videos.

Artificial intelligence (AI) based methodology for instantaneous signal analysis of cardiovascular waveforms using a single or multiple hemodynamic waveform(s) is described. For example, a system comprising at least one programmable processor and a non-transitory machine-readable medium storing instructions which, when executed by the at least one programmable processor, cause the at least one programmable processor to perform operations comprising receiving patient data having one or more cardiovascular waveforms related to a cardiac cycle or a vasculature of a patient; calculating, from the one or more waveforms, at least one output from a signal analysis method, inputting, into a trained artificial intelligence model, cardiovascular waveforms; determining, utilizing the trained artificial intelligence model, the clinically relevant parameters from a signal analysis method; and in response to determining the output parameters, providing the information about the underlying pathology to a user.

The present disclosure generally relates to managing user interfaces associated with physical activities. The user interface displays a scrollable list of affordances associated with physical activities. The affordances may contain physical activity and heart rate information. A user can launch a physical activity tracking function or an interface to change a workout metric using an affordance. Users can also control the music that is played in response to selecting a workout. Further, the interface can be used to compose a reply message to a received message that contains workout information. The interfaces can show a graph that includes heart data when the user's heart rate meets a heart rate alert criteria.

In one example, a display unit comprises a display panel that is configured to display digital images. The display unit further comprises an at least partially transparent protective layer that is arranged above the display panel. The display unit further comprises a controller that is communicatively attached onto an upper surface of the display panel. A biometric sensor pattern is integrated in the controller, and the controller is configured to control the biometric sensor pattern.

An infection sensing system for determining whether a human or animal user has one of a plurality of infection conditions in response to a sensed condition of the user. The system includes a remote temperature measuring subsystem comprising a first, imaging sensor to capture a first image of a body part, a thermal imaging camera to capture a thermal image of the body part, and an image rocessor to process the first image to identify when the body part is present in a field of view of the thermal imaging camera. The system is also configured to determine one or more biomarker values for one or more further characteristics of the human or animal user. machine learning classifier processes the body temperature and further characteristic(s) to identify one of the infection conditions.

The present invention relates to a device for skin condition analysis and skin disease diagnosis. The skin condition analysis and skin disease diagnosis device according to the present invention is an all-in-one type device that can perform not only cosmetic skin condition analysis but also diagnosis of medical skin disease items.