An apparatus for remote controlled physical activity monitoring, the apparatus comprising: at least one orientation measurer, wearable on at least one body part of a user, configured to measure orientation of a body part wearing the orientation measurer during a physical activity of the user, at least one pressure meter, wearable on at least one body part of the user, configured to measure pressure applied by muscle of a body part wearing the pressure meter during the physical activity of the user, a computer processor, associated with the orientation measurer and pressure meter, configured to derive monitoring control data from the measured orientation and pressure, and a data transmitter, associated with the computer processor, configured to transmit the monitoring control data to a physical activity monitoring device, and thereby to remotely control a monitoring of the physical activity of the user by the physical activity monitoring device.

A computer-implemented medical method of determining a breathing signal of a patient is disclosed. The method includes determining a motion trajectory of a structure associated with at least one body part of the patient, the motion trajectory being indicative of a respiratory movement of the structure, acquiring surface data representative of a position of a surface region of the patient, computing an intersection of the determined motion trajectory and the acquired surface data, and determining a breathing signal of the patient based on the computed intersection. The breathing signal is indicative of a breathing state of the patient.

A computer-implemented system and associated methods are disclosed including a device for personalized activity monitoring using the hands The device is worn about a wrist and captures images along the wrist including movement of the hands to monitor predetermined hand movements relative to an object of interest.

Systems and methods are provided for testing the ability of an individual to lift objects under various conditions. During standard lifting tests, the average acceleration and velocity of each lift, as well as the distribution of force between the hands and feet of the patient, are electronically measured and recorded. These objective factors can then be used to determine whether the patient is exerting maximal effort, and to assess a patient's condition and progress during a rehabilitation program. In example embodiments, one or more components of the system are adjustable so as to accommodate users of various posture, mechanics, size and movement capabilities.

Wearable ergonomics improvement systems and related methods are disclosed. An example ergonomics improvement system includes a membrane including a first frame having a plurality of first cutouts defining a first pattern. The system includes a sensor coupled to the membrane and includes a second frame having a plurality of second cutouts defining a second pattern. The first pattern is complementary to the second pattern.

Devices, systems, and methods are provided for analyzing and treating learning disorders using software as a medical device. A method may include identifying, by a device, application-based cognitive musical training (CMT) exercises associated with performance of software; receiving a first user input to generate a first sequence of the application-based CMT exercises; presenting a first application-based CMT exercise of the application-based CMT exercises based on the first sequence; receiving, during the presentation of the first application-based CMT exercise, a second user input indicative of a user interaction with the first application-based CMT exercise; generating, based on a comparison of the second user input to a performance threshold, a second sequence of the application-based CMT exercises, the first sequence different than the second sequence; and presenting a second application-based CMT exercise of the application-based CMT exercises based on the second sequence.

A triaxial acceleration sensor and a triaxial angular rate sensor are mounted on each of the lower limb portions on both sides of one joint among joints constituting a part of one lower limb of a subject. The acceleration and angular rate of each lower limb portion are measured by the triaxial acceleration sensor and triaxial angular rate sensor while the subject is walking. The orientations of each lower limb portion while walking are calculated on the basis of the measured acceleration and angular rate. A three-dimensional model including the motion trajectory of one joint is constructed by linking the lower limb portions in the calculated orientation to each other. The angle formed by the acceleration vector of one joint when the heel strikes the ground to the movement trajectory in the sagittal plane is calculated as a gait parameter.

Disclosed are various embodiments of golf training device that helps a golfer learn and coordinate lower body positions and movements with upper body movements, using a series of feedback signals. In one embodiment, among others, a system comprises a foot sensor that attaches to a Lead Foot of a user. The foot sensor is configured to detect a heel of the Lead Foot being raised. The system also comprises a leg sensor that attaches to a Trail Leg of the user, and the leg sensor detects a bend in the Trail Leg of the user. The foot sensor is configured to detect the heel being lowered at an instance after the detection of the bend in the Trail Leg. The system further comprises a feedback device configured to activate one or more feedback indicators after the detections of foot and/or leg movements.

A medical system and method are disclosed herein. The medical system, in an embodiment, has computer-readable instructions configured to be executed by one or more processors to cause at least one display device of a wearable device to generate a plurality of graphics. The graphics are configured to stimulate a voluntary eye function of at least one eye of a subject, to stimulate an involuntary eye function of the at least one eye, and to block a vision of the at least one eye. The instructions are also configured to cause at least one sensor of the wearable device to sense eye movement, head movement, and pupillary resizing. The instructions are also configured to cause processing of a plurality of sensed eye parameters and any sensed head movement parameters and to generate an examination output that at least indicates a plurality of the sensed eye parameters.

Disclosed herein are implementations of a method and apparatus for stroke self-detection. The method and apparatus may include a mobile platform for stroke detection. The method may include receiving sensor data. The method may include comparing the sensor data with a baseline test result to determine a test score. The method may include determining a passing test result based on a threshold. The method may include transmitting the results or an alert to one or more of an emergency contact, emergency medical services, a physician, or a telemedicine provider.