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.

A method includes receiving treatment data pertaining to a user capable of using a treatment device to perform a treatment plan and receiving activity data pertaining to the user while the user engages in at least one activity. The method also includes generating treatment information using the treatment data and the activity data and writing to an associated memory, for access by a healthcare professional, the treatment information. The method also includes modifying at least one aspect of the treatment plan in response to receiving, from the healthcare professional, treatment plan input including at least one modification to the at least one aspect of the treatment plan.

This invention relates to a mobile health and fitness reactive immersive activity space embodied with a plurality of modules and more particularly to a motorized or towed vehicle or vessel with its structural space embodied in modular assembly with sensory flooring and walls, providing a immersive platform for performing health assessments and treatments as well as physical and mental health fitness activities for functional training and therapy, using a plurality of sensors, electronics, electrical and ambient audio-visual stimulation that can be programmed to suit the specific needs of an individual or a group of individuals.

The present disclosure relates to a system for supporting a movement of a person with an object. The system comprises a detection device configured to detect an actual state of the object. The system also comprises a sensor arrangement, which is configured to record at least one physiological parameter of the person. The system also comprises a determination device configured to determine a target state of the object based on the detected physiological parameter. The system furthermore comprises a display device configured to display an indication when the actual state differs from the target state. The present disclosure further relates to a method and a computer program product.

Systems and methods for electronically conducting a fitness activity challenge are disclosed. The method may include first collecting electronic fitness data related to a first fitness activity, collecting second electronic fitness data related to a second fitness activity, generating comparison data by comparing the first electronic fitness data and the second electronic fitness data, and displaying the comparison data.

A combined human and pet wellness facility includes a wellness facility, at least one human exercise station inside the wellness facility, and at least one pet exercise station together with the human exercise station. The at least one human exercise station and the at least one pet exercise station are configured for simultaneous use.

This disclosure relates to systems, media, and methods for providing near-instantaneous feedback from real-time motion sensor data. In an embodiment, the system may perform operations including loading at least one target motion trigger. Disclosed embodiments may receive real-time sensor data from the first motion sensor detachably fixed to a user. Additionally, disclosed embodiments may include calculating a motion profile based on the real-time sensor data, the motion profile describing a multi-dimensional representation of acceleration of a motion performed by the user. Disclosed embodiments may also include comparing the at least one target motion trigger to the calculated motion profile to determine if the motion performed by the user corresponds to the target motion. Further, disclose embodiments may include transmitting, based on the comparison, an instruction to provide an alert to a user.

Systems, methods, and computer-readable media for improving cardiovascular health such that the need for a cardiac intervention is mitigated. The system includes one or more processing devices and an electromechanical machine. The one or more processing device are configured to receive a plurality of risk factors associated with a cardiac-related event for a user. The one or more processing device are also configured to generate a selected set of the risk factors. The one or more processing device are further configured to determine, based on the selected set of the risk factors, a probability that a cardiac intervention will occur. The one or more processing device are also configured to generate, based on the probability and the selected set of the risk factors, a treatment plan including exercises directed to reducing the probability that the cardiac intervention will occur. The electromechanical machine is configured to implement the treatment plan.