Systems and methods are disclosed for assessing tissue function based on vascular disease. One method includes receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's tissue; receiving a patient-specific vascular model generated from patient-specific imaging of at least a portion of a patient's vasculature; receiving an estimate of blood supplied to a portion of the patient-specific anatomic model; and determining a characteristic of the function of the patient's tissue using the estimate of blood supplied to the portion of the patient-specific anatomic model.

An apparatus for assessing user frailty is disclosed. In embodiments, the apparatus includes a housing that defines (or is defined by) a body and a handle coupled to the body. The apparatus includes a force sensor at least partially disposed within the handle. The apparatus further includes an inertial sensor at least partially disposed within the housing. The apparatus may further include a user interface device disposed within a cavity of the body. The user interface device may be coupled to the force sensor and the inertial sensor via one or more signal paths. In embodiments, the user interface device includes a controller with a touchscreen coupled to the controller.

The present invention relates to a device, system and method for generating information on musculoskeletal recovery of a subject. To enable the generation of additional information on recovery of a subject to better avoid over-fatigue, injuries and overuse fractures, the device (10) comprises a sensor input (11) configured to receive a motion parameter and/or motion signal related to motion of the subject performing an activity; a processor (12) configured to determine from the motion parameter and/or motion signal a measure of impact load, determine from the measure of impact load a measure of musculoskeletal damage, and determine from the measure of impact load information on musculoskeletal recovery indicating to which extent the musculoskeletal damage recovers over time; and an output (13) configured to output the determined information on musculoskeletal recovery.

The disclosed system for interacting with objects in an extended reality (XR) environment generated by an XR system may include (1) neuromuscular sensors configured to sense neuromuscular signals from a wrist of a user and (2) at least one computer processor programmed to (a) determine, based at least in part on the sensed neuromuscular signals, information relating to an interaction of the user with an object in the XR environment and (b) instruct the XR system to, based on the determined information relating to the interaction of the user with the object, augment the interaction of the user with the object in the XR environment. Other embodiments of this aspect include corresponding apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

The disclosed system for interacting with objects in an extended reality (XR) environment generated by an XR system may include (1) neuromuscular sensors configured to sense neuromuscular signals from a wrist of a user and (2) at least one computer processor programmed to (a) determine, based at least in part on the sensed neuromuscular signals, information relating to an interaction of the user with an object in the XR environment and (b) instruct the XR system to, based on the determined information relating to the interaction of the user with the object, augment the interaction of the user with the object in the XR environment. Other embodiments of this aspect include corresponding apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

Systems and methods for detecting athletic performance and fatigue are disclosed herein. In one embodiment, a method for monitoring athletic performance of an athlete includes: monitoring a heart rate (HR) of the athlete by a wearable electrocardiogram (ECG) sensor carried by the athlete; determining a rate of change of the HR over a period of time; comparing the rate of change to a predetermined threshold; and based on the comparing, determining whether the athlete is fatigued.

A blood-purification-treatment support system is capable of making an accurate judgement of whether or not any treatment conditions for blood purification treatment should be changed. The blood-purification-treatment support system is capable of supporting blood purification treatment. The system includes a storage device that stores patient-specific patient data that are acquired on a plurality of days including at least no-treatment days on which blood purification treatment is not conducted, an estimating device that compares the patient data for the plurality of days stored in the storage device with one another and estimates a pre-treatment patient state regarding blood purification treatment, and a judging device that judges from the pre-treatment patient state estimated by the estimating device whether or not any treatment conditions for blood purification treatment should be changed.

A blood-purification-treatment support system is capable of making an accurate judgement of whether or not any treatment conditions for blood purification treatment should be changed. The blood-purification-treatment support system is capable of supporting blood purification treatment. The system includes a storage device that stores patient-specific patient data that are acquired on a plurality of days including at least no-treatment days on which blood purification treatment is not conducted, an estimating device that compares the patient data for the plurality of days stored in the storage device with one another and estimates a pre-treatment patient state regarding blood purification treatment, and a judging device that judges from the pre-treatment patient state estimated by the estimating device whether or not any treatment conditions for blood purification treatment should be changed.

A dental appliance including a dielectric substrate with one or more electric areas having one or more integrated circuits, one or more electric lines, and optionally one or more shielding lines. The dental appliance further includes one or more ground areas including one or more ground pads, one or more sensing areas including one or more sensing pads, and optionally one or more shielding pads. The dental appliance is configured to monitor dental contact, dental forces, and/or for detecting teeth clenching and/or grinding.

A reliable technology for determining the masticatory side of the user is provided. First and second electromyographic waveforms respectively originating from left and right muscles related to masticatory actions of a user are acquired; a coefficient of correlation between pieces of information respectively extracted from the first and the second electromyographic waveforms is calculated as a first feature value; a second feature value is calculated from a power spectrum obtained by performing frequency analysis on the first electromyographic waveform; a third feature value is calculated from a power spectrum obtained by performing frequency analysis on the second electromyographic waveform; a learning model is generated by associating the first, second, and third feature values with a plurality of labels; and the masticatory side of the user is determined based on first, second, and third feature values calculated from a newly acquired electromyographic waveform and the learning model.