A computer-implemented system includes one or more processing devices configured to receive user information associated with a user, generate a selected set of the user information, determine, based on the selected set of the user information, at least one of a first probability of surviving one or more procedures and a second probability indicating an improvement, resulting from the one or more procedures, in quality-of-life metrics for the user, generate, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and generate, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability.

A computer-implemented method is disclosed. The method includes receiving, at a computing device, a first treatment plan designed to treat an invasive surgical-related health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the invasive surgical-related health issue, enable the user to perform an exercise at different exertion levels. Next, while the user uses the electromechanical machine to perform the first treatment plan, receiving, at the computing device, data from sensors configured to measure the data associated with the invasive surgical-related health issue and transmitting the data. One or more machine learning models are 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 data, and the invasive surgical-related health issue. The method additionally includes receiving the second treatment plan.

A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

The embodiments set forth a technique implemented by a computing device. The technique includes the steps of (1) receiving one or more characteristics associated with a user, wherein the one or more characteristics comprise personal information, performance information, measurement information, cohort information, familial information, comorbidity information, healthcare professional information, or some combination thereof; (2) determining, based on the one or more characteristics, one or more conditions of the user, wherein the one or more conditions pertain to cardiac health, pulmonary health, bariatric health, oncologic health, cardio-oncologic health, or some combination thereof; (3) based on the one or more conditions, identifying, using one or more trained machine learning models, one or more subgroups to present via the display, wherein the one or more subgroups represent different partitions of the one or more characteristics; and (4) presenting, via the display, the one or more subgroups.

An exercise machine has a frame member, a pulling set and a loading bar. The frame member is provided with the upper roller and the lower roller, and the pulling set is the elastic rope and placed under the first supporting member. Two front pull handles are placed at the upper roller, and two rear pull handle are placed at the lower roller. Therefore, a user can hold the two front pull handles or the rear pull handles with both hands to pull the elastic rope to achieve the upper body stretching. The loading bar is connected to the outer tube and the inner tube between the first the supporting member and the second supporting member. The loading bar supports below the seat cushion and increases the load capacity of the frame member, thereby preventing the frame member from deformation.

A movement device and a manipulator configuration are provided for contact and/or invasive examination or treatment of the human or animal body under the influence of increased and/or changing acceleration. Wherein a functional head can be moved relative to a base along a plurality of degrees of freedom movable by drive devices and at least one drive device is constituted as a force-limited drive device.

The Recumbent Exercise Bicycle Attachment (REBA) connects to an upright flywheel type exercise bicycle which utilizes one knob friction brake control. The functionality of the existing upright bicycle is maintained by using the REBA's modified interchangeable controls. The pedals that turn the flywheel and the resistance control of the bicycle are accessed from the REBA by utilizing the seat and rear control which are a part of the REBA. The REBA allows the user to ride either in the upright cycling position or the recumbent cycling position on one machine.

Improvements to a desk and exercise semi-recumbent bicycle is disclosed, the desk allows a person exercising while utilizing the desk with a computer, as a table or read a book. The desk has a 3-way adjustment relative to the seat for elevation of the desk, angle, sliding forward and backward of the desk or the proximity of the desk relative to the chair and or the pedals. The desk pivots to allow the desk to be easily tilted towards the user when they are studying and tilted away from the user when the user wants to exit the exercise bicycle. The dimension from the seat to the pedals is adjustable to accommodate these different desires. The amount of resistance can be adjusted to increase or decrease the difficulty to accommodate different levels of activity. A recording mechanism can count distance, elapsed time, calories or other information.

An exercise bicycle comprising a frame including a first portion and a second portion, the first and second portions being pivotably coupled to each other and being adjustable in a plurality of positions, and a support rod including a first end and second end, the first end pivotally coupled to the first portion of the frame and the second end pivotally coupled to the second portion of the frame, the support rod configured to adjustably lock the first and second portions in each of the plurality of positions.

An exercise equipment with an improved connecting bar connecting an exercise foot retaining device to a resistance, wherein a first longitudinal pedal bar is connected to a first bent longitudinal pedal connector bar and a second longitudinal pedal bar connected to a second bent longitudinal pedal connector bar, the bent first and second longitudinal connector bars each having a bent angle greater than zero and less than ninety degrees to thereby prevent the occurrence of a dead angle.