An exoskeleton wear management method is provided. The method includes receiving inertial data from a sensing system; determining whether a left leg component of an exoskeleton device is parallel to a left leg of a user and a right leg component of the exoskeleton device is parallel to a right leg of the user according to the received inertial data; in response to determining that the left leg component/the right leg component is not parallel to the left leg/the right leg of the user, prompting an adjusting left leg component message/an adjusting right leg component message; and in response to determining that the left leg component is parallel to the left leg of the user and the right leg component is parallel to the right leg of the user, prompting a left leg component and right leg component correctly-worn message.

The present disclosure provides a method for performing a treatment plan, wherein the method comprises: receiving first patient data, wherein the first patient data includes at least a first patient identifier associated with the first patient and a first treatment plan; receiving second patient data, wherein the second patient data includes a second patient identifier associated with the second patient and a second treatment plan; receiving first measurement data associated with a first performance level of the first treatment plan by the first patient; receiving second measurement data associated with a second performance level of the second treatment plan by the second patient; determining differential data, wherein the determining is based on a contrast of the first or the second measurement data or first or second patient data; and generating, based on the differential data, an instruction to modify an operating state of the treatment apparatus.

Systems, methods, and apparatuses for performing analytics for equine-related conditions from fetlock sensors include receiving sensor data from one or more sensors attached to one or more fetlock wearable devices. Each of the one or more fetlock wearable devices are configured to attach to a fetlock of a respective limb of a horse. The analytics system compares the sensor data to one or more baseline measurement values. The analytics system detects a condition responsive to comparing the sensor data to one or more baseline measurement values. The analytics system transmits an alert to one or more remote devices responsive to detecting the condition.

A method for assessing movement of a body portion includes, via one or more machine learning models, analyzing a sensor signal indicative of movement of the body portion to determine a movement of the body portion; determining a sensor confidence level based, at least in part, on a characteristic of the sensor signal; receiving a series of images indicative of movement of the body portion; measuring an angle of movement of the body portion; determining a vision confidence level based, at least in part, on a quality of an identification the body portion; selecting the sensor signal, the measured angle of movement, or a combination thereof as an input into a machine learning model based on the sensor confidence level and the vision confidence level, respectively; analyzing the input to determine a movement pattern of the body portion; and outputting the movement pattern to a user.

This disclosure relates to a system and method to implement a performance test to help evaluate a patient's neurological and cognitive function. The performance test can be executed by the patient autonomously using a portable computing device, such as a tablet computer or smart phone. The portable computing device can be programmed to execute a set of modules configured to assess motor and cognitive performance, such as a manual function test module, a cognitive processing speed test module, and a movement assessment test module. The set of modules can also include a collection module to aggregate test data from the manual function test module, the cognitive processing speed test module, and the movement assessment test module.

Scalable, configurable, complete spectrum universal health metrics monitors and bicorders are disclosed that record data or make selected determinations from a complete spectrum of health determinations regarding or utilizing sensor observations of people. Universal health metrics monitors utilize necessary resources and predetermined criteria in their making of selected health determinations. Universal health metrics monitors may utilize measure points in their locating of selected analytically rich aspects, characteristics, or features of or from sensor observation-derived representations, Universal health metrics monitors assign appropriate informational representations to selected analytically rich aspects, characteristics, features, or measure points, which are stored in datasets where they can be utilized in real-time or thereafter by universal health metrics monitors in their making of selected health determinations regarding or utilizing sensor observations or people who are subjects of sensor observations.

A system for ankle rehabilitation includes a motorized platform arranged to hold an ankle of a subject to be rehabilitated; a first sensor module arranged to detect signals representing movement intention of the ankle on the motorized platform; a second sensor module arranged to detect signals representing actual movement of the ankle on the motorized platform; and a processor arranged to process the signals detected by the first sensor module and the signals detected by the second sensor module, for control of movement of the motorized platform.

Systems and methods for joint replacement are provided. The systems and methods include a surgical orientation device, a reference sensor device, and at least one orthopedic fixture. The surgical orientation device, reference sensor device, and orthopedic fixtures can be used to locate the orientation of an axis in the body, to adjust an orientation of a cutting plane or planes along a bony surface, or otherwise to assist in an orthopedic procedure(s).

Coaptation assist device for repairing cardiac valves and associated systems and methods are disclosed herein. A coaptation assist device configured in accordance with embodiments of the present technology can include, for example, a fixation member configured to press against cardiac tissue proximate to a native valve annulus, and a stationary coaptation structure extending away from the fixation member. The coaptation structure can include an anterior surface configured to coapt with a first native leaflet during systole and a posterior surface configured to displace at least a portion of a second native leaflet. The device also includes at least one sensor configured to detect parameters associated with at least one of cardiac function and device functionality. The sensors can be pressure sensors configured to detect left atrial pressure and/or left ventricular pressure.

An electromechanical device for rehabilitation includes pedals coupled to radially-adjustable couplings, an electric motor coupled to the pedals via the radially-adjustable couplings, and a control system including a processing device operatively coupled to the electric motor. The processing device configured to, responsive to a first trigger condition occurring, control the electric motor to operate in a passive mode by independently driving the radially-adjustable couplings rotationally coupled to the pedals. The processing device also configured to, responsive to a second trigger condition occurring, control the electric motor to operate in an active-assisted mode by measuring revolutions per minute of the radially-adjustable couplings, and cause the electric motor to drive the radially-adjustable couplings when the measured revolutions per minute satisfy a threshold condition, and responsive to a third trigger condition occurring, control the electric motor to operate in a resistive mode by providing resistance to rotation of the radially-adjustable couplings.