An apparatus for measuring eyelid tension includes: a cylindrical body; a measuring sensor formed on an outer circumferential surface of the body; and a contact part formed at a longitudinal distal end of the body to come into contact with the body of a person to be measured.

A play experience system disclosed in the present invention comprises an experience device including a plurality of experience rooms and a plurality of experience instruments provided in each of the plurality of experience rooms for the user to experience the play-type; a sensor device comprising at least one or more sensors being disposed in a predetermined area of each of the plurality of experience instruments; and a processing device configured to receive body composition information and heart rate information of the user and comprehensive measurement information on physical development items of the user from the at least one or more sensors, and to obtain result information on a current level of the physical development items of the user by comparing the received comprehensive measurement information on the physical development items with pre-stored standard information on the physical development items.

The present invention concerns the field of medical technology and relates to a device for the measurement, diagnosis, and/or therapy of the strength of the human finger, hand, arm, and/or shoulder, as can for example be used to measure bending strength. The object of the invention is to specify a device with which a multi-functional measurement, diagnosis, and/or therapy of the strength of the human finger, hand, arm, and/or shoulder is possible on one device. The object is attained by a device composed at least of a base plate and force-measuring sensors, of which at least one sensor comprises a puller bolt passing therethrough and this force-measuring sensor is positioned in a stationary manner on one side of the base plate and is connected to an actuation part in a force-fit via the puller bolt, furthermore in the region of the base plate a guide for additional force-measuring sensors is present and movable auxiliary devices can also be present.

A method for optimizing at least one exercise for a first user. The method includes receiving first user data including attribute data associated with the first user and outcome data associated with the exercise. The method includes generating, based on the first user data, initial target data. The initial target data is associated with at least one of the first user, the exercise apparatus, and the exercise. The method includes receiving measurement data associated with at least one of the first user, the exercise apparatus, and the exercise. The measurement data is associated with one or more sensors. The method includes determining differential data based on one or more differences between the initial target data and the measurement data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate optimized target data.

A method of measuring muscular fitness of a user using a wearable device includes determining a target resistance profile for a target movement to be performed by the user wearing the wearable device to measure muscular fitness, controlling a motor driver circuit of the wearable device based on the target resistance profile to control a resistance force to be provided to the user, measuring state information of an actual movement performed by the user under the resistance force, and measuring the muscular fitness of the user based on the state information.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Provided is a method of predicting a cardiopulmonary function comprising measuring motion of a cardiopulmonary function measurement-target person, by a motion sensor, determining a gait speed of the cardiopulmonary function measurement-target person according to the motion of the cardiopulmonary function measurement-target person, by a processor, and predicting a cardiopulmonary function index of the cardiopulmonary function measurement-target person, based on the gait speed of the cardiopulmonary function measurement-target person, by the processor.

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.

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 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.