Methods for treating fluid overload in a subject comprise shifting fluids directly and non-invasively from an interstitial compartment of the subject to skin of the subject through controlled local sweating. Methods of the invention allow for removal of excess fluid from the interstitial compartment of the subject and treat fluid overload in the subject. Sweat stimulation systems comprise a chamber and first and second relative humidity sensors. The chamber is sized to fit around a body part of a subject, comprises an inlet and an outlet, and is configured such that air flows through the chamber from the inlet to the outlet. The first relative humidity sensor is operably located inside the inlet, and the second relative humidity sensor is operably located proximate the outlet.

Various improvements are provided to breathing training, monitoring and/or assistance devices. A portable device is provided which optionally includes a gas canister, a feedback system for implementing pressure control, and a visual output for indicating adherence to a breathing exercise to the user. The pressure control may provide regulation of different pressures for inhalation and exhalation.

A pelvic floor muscle training device and system include a pelvic floor muscle training device, an intelligent terminal, a cloud server, a VR device, and a few application programs. The user does Kegel exercise wearing the training device, with the help of the VR device and scene induction, synergistic or independently, thus enhancing pelvic floor muscle function.

Systems and methods relating to evaluating the performance of a person playing basketball are described. The systems and methods can be used to provide an evaluation sequence that can determine and evaluate the performance level of a person at one or more basketball skills. The evaluation sequence for the person can include a first sequence of actions that are the same each person being evaluated for a particular skill and a second sequence of actions that is based on the results of the first sequence and may be different for each person. Once the first and second sequences have been completed by the person, the system can determine a performance level for the person for the skills being evaluated.

A method includes providing a first video file to a plurality of exercise machines, the first video file including content associated with an exercise class. The method also includes receiving user data from the plurality of exercise machines, the user data including respective settings associated with a common performance metric. In such a method, the respective settings are used on the plurality of exercise machines during playback of a particular part of the first video file. The method also includes identifying a timestamp associated with the particular part of the first video file, and generating an executable control corresponding to the performance metric. The method further includes generating a second video file comprising the content and the executable control. In such methods, playback of the second video file causes display of the executable control at a part of the second video file corresponding to the timestamp.

A system that comprises a memory device storing instructions, and a processing device communicatively coupled to the memory device. The processing device executes the instructions to: receive user data obtained from records associated with a user; generate a modified treatment plan based on the user data; and send, to a treatment apparatus accessible to the user, the modified treatment plan, wherein the modified treatment plan causes the treatment apparatus to update at least one operational aspect of the treatment apparatus, and update at least one operational aspect of at least one other device communicatively coupled to the treatment apparatus.

A method is disclosed for using an artificial intelligence engine to modify resistance of pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive measurements as input, and outputting, based on the measurements, a control instruction that causes the exercise device to modify, independently from each other, the resistance of the pedals. While a user performs an exercise using the exercise device, the method includes receiving the measurements from sensors associated with the pedals. The method includes determining, based on the measurements, a quantifiable or qualitative modification to the resistance provided by a pedal of the pedals. The resistance provided by another pedal of the pedals is not modified. The method includes transmitting the control instruction to the exercise device to cause the resistance provided by the pedal to be modified.

A method for protecting healthcare information associated with an individual may include receiving at least a first electronic medical record associated with the individual and generating a patient identifier associated with the individual. The method may also include generating, using the patient identifier and at least a portion of the first electronic medical record, at least one protected electronic medical record corresponding to the first electronic medical record. The patient identifier may be associated with at least one characteristic of the individual. The method may also include providing, at least at a healthcare provider interface, at least one of the patient identifier and at least a portion of the at least one protected electronic medical record.

Disclosed are systems and methods for a computerized framework that leverages artificial intelligence (AI)/machine learning (ML) mechanisms to assign selected individuals to military operations. The disclosed framework comparatively analyzes an ops sheet of a military operation and profile data related to a user(s), and automatically determines user(s) who are optimal for the operation. The determined user or users possess the physical and/or intellectual capabilities to accurately and efficiently, with respect to real-world and electronic resources, perform and complete the operation. The disclosed framework provides a computerized platform that selects users for highly specific tasks based on the users' analyzed skill sets, and based on computerized determinations of how such users are predicted to perform using those skill sets, securely and/or confidentially provides the users access to information related to the operation.

A computer-implemented method including receiving, at a computing device, a first treatment plan designed to treat a cardiovascular health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the cardiovascular health issue, enable the user to perform an exercise at different exertion levels. While the user uses a treatment apparatus to perform the first treatment plan for the user, the computing device receives cardiovascular data from one or more sensors configured to measure the cardiovascular data associated with the user, and transmits the cardiovascular data. Wherein a machine learning model is used to generate a second treatment plan. The second treatment plan modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the cardiovascular data, and the cardiovascular health issue of the user. The method includes receiving the second treatment plan.