There is a need to accurately and dynamically predicting a probability for an event and a likely cause for the event prior to the event occurring using collected data from disparate data sources. This need can be addressed, for example, by generating an event prediction data object by utilizing an event prediction machine learning model, wherein the event prediction data object describes an event likelihood prediction and in an instance where the event likelihood prediction is an affirmative likelihood prediction, one or more fall cause predictions; and performing one or more prediction-based actions based at least in part on the event likelihood prediction.

The present invention relates to a device (100) for determining a vital sign of a subject by use of PPG. The device comprises a processing unit (110) configured to obtain multiple first detection signals derived from electromagnetic radiation (90) from multiple measurement spots (30) on a skin region (12) of the subject illuminated by one or more illumination spots (20), wherein the electromagnetic radiation (90) enters the skin region (12) at the one or more illumination spots (20) and exits the skin region (12) at the multiple measurement spots (30). The processing unit (110) further obtains 3D image information (130) of the skin region (12) which allows determining the actual spot distance (15) between the measurements spots (30) and an illumination spot (20), respectively. This information can be used to interpret the PPG signal more precisely as without having the 3D image information only a projected distance can be determined if the skin surface is tilted. Additionally, this allows averaging PPG signals derived from a homogenous skin area to improve PPG signal strength and reduce noise. A system (500) comprising such a device and a corresponding method are further described.

There is provided a controller that performs: determining, based on information obtained from a sensor configured to detect a physical condition of a target person, which of a plurality of predetermined categories the physical condition of the target person falls into; and transmitting a notification corresponding to the physical condition of the target person to a terminal of a notification destination that corresponds to a category into which the physical condition of the target person is determined to fall, wherein terminals of notification destinations are set for the plurality of categories, respectively.

Systems and methods for electronically creating and modifying a fitness plan are disclosed. The method may include receiving electronic user data, collecting electronic fitness data, and displaying a suggestion for a fitness activity based on the electronic user data and the electronic fitness data.

A myocardial infarction detection method and apparatus is described that includes a stiffness measurement step of measuring myocardial stiffness of a cardiac muscle of a subject, and a determination step of determining, based on the myocardial stiffness, whether or not infarction is present in the cardiac muscle.

A system for fabricating a dental restoration to restore a tooth at a restoration site in a dentition of a patient is disclosed. The dentition includes a restoration dental arch and an opposing dental arch. The restoration dental arch include the restoration site and the opposing dental arch is opposite the restoration dental arch. The system includes an impression apparatus, a motion capture apparatus, an interface apparatus, and a restoration design system. The impression apparatus is configured to capture an impression of the dentition of the patient. The motion capture apparatus is configured to capture a plurality of location data points that represent the locations of the opposing dental arch relative to the restoration dental arch. The interference model generation system is configured to generate an interference model for the restoration site. The restoration design system is for designing a restoration using the interference model.

A method, a structure, and a computer system for assessing user mobility. The exemplary embodiments may include collecting mobility data corresponding to a user and extracting one or more low level features from the mobility data. The exemplary embodiments may further include extracting one or more clinical level features from the low level features and assessing one or more health conditions of the user based on applying one or more models to the one or more clinical level features.

Medical diagnostic images that are embedded with contact messages about a professional are sent to a patient for sharing with others. Although the images may be obtained using any of a variety of imaging devices, in some instances, the images may be obtained using a soft-tissue-injury diagnostic system for diagnosing soft tissue injury within a patient. A visual display is configured and arranged for receiving and displaying the medical diagnostic image. Personalized contact messages are then embedded within the image as a watermark to with information about the professional, such as an electronic business card, contact information, or hyperlinks to additional information. The sharable image with embedded messages is electronically sent to the patient for sharing with others. Personalized contact messages may also be embedded in non-medical images for sharing with others.

Systems and methods for detecting onset, presence, and progression of particular states, including intoxication, include observing eye movements of a subject and correlating the observed movements to known baseline neurophysiological indicators of intoxication. A detection system may record eye movement data from a user, compare the eye movement data to a data model comprising threshold eye movement data samples, and from the comparison make a determination whether or not intoxication or impairment is present. The detection system may alert the user to take corrective action if onset or presence of a dangerous condition is detected. The eye movements detected include saccadic and intersaccadic parameters such as intersaccadic drift velocity. Measurements may be collected in situ with a field testing device. An interactive application may be provided on a user device to provoke the desired eye movements during recording.

An estimation device that includes an extraction unit that acquires sensor data from a sensor installed on footwear and extracts a gait feature quantity characteristic of walking in the footwear by using the sensor data, and an estimation unit that estimates a type of the footwear based on the gait feature quantity extracted by the extraction unit.