A computer-implemented method including receiving, at a computing device, a first treatment plan designed to treat a sexual performance health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the sexual performance 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. A machine learning model is used to generate a second treatment plan that 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 computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on a pulmonary condition of the user, a selected set of the attribute data, determine, based on the selected set of the attribute data, a first probability of improving a pulmonary condition of the user subsequent to at least one of a pulmonary procedure being performed on the user, a pulmonary treatment being performed on the user, and a pulmonary diagnosis, and generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability. A treatment apparatus is configured to enable implementation of the treatment plan.

A rotating cushioning and assisting mechanism comprises a rotating outward expanding member, an elastic return member, and an inner support heterogeneous member; the rotating outward expanding member comprises a first rotating member and a second rotating member, which enclose to form an expandable compartment; the elastic return member is connected to the free ends of the first rotating member and the second rotating member; and the inner support heterogeneous member is rotationally disposed in the expandable compartment. When an external force drives the inner support heterogeneous member to rotate in the expandable compartment, a work done by the force exerted by the inner support heterogeneous member is converted into elastic potential energy to be stored; when the external force is over, the elastic potential energy is released and converted into kinetic energy to help the free ends of the two rotating members to move close.

A pedal assembly for electromechanical exercise or rehabilitation of a user is disclosed and can include pedals to engage appendages of a user. A spindle supports each pedal and has a spindle axis. A pedal arm assembly is located between the spindle and a rotational axle of the equipment. The pedal arm assembly is radially offset from the spindle axis to define a range of radial adjustability for the pedal relative to the rotational axle. The pedal arm assembly can include an electrically-actuated coupling assembly to adjust the radial position of the pedal in response to a control signal, and regulate motion of the user engaged with the pedals.

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 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.

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.

Provided are apparatuses for augmenting human speed, human-driven compliant mechanisms, artificial limbs to augment human movement, and the like. The apparatuses can include variable stiffness mechanisms including springs that can be configured to selectively store and subsequently release energy generated by human movement. The apparatuses can selectively release the captured energy supplied by the human to provide force and power output beyond the physical capability of the human.

A device for therapy or exercise includes a frame, a base at least partially supporting and extending from the frame, a user support moveably coupled to the base and positioned adjacent the frame, a foot crank system coupled to the frame, a hand crank system coupled to the frame, and a motor coupled to at least one of the foot crank system and the hand crank system. The motor selectively powers the foot crank system and the hand crank system and is operable in an active mode and a passive mode.

A system for rehabilitation is disclosed. The system for rehabilitation includes one or more electronic devices comprising one or more memory devices storing instructions, one or more network interface cards, and one or more sensors, wherein the one or more electronic devices are coupled to a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the one or more memory devices, the one or more network interface cards, and the one or more sensors. The one or more processing devices are configured to execute the instructions to receive information from the one or more sensors. The one or more processing devices are further configured to execute the instructions to transmit the information to a computing device controlling an electromechanical device, via the one or more network interface cards.