Systems and methods to enable communication detection between devices and performance of a preventative action

1. A computer-implemented system, comprising:

an electromechanical machine configured to be manipulated by a user while the user is performing a treatment plan;

an interface comprising a display configured to present information pertaining to the treatment plan; and

a processing device configured to:

determine whether one or more messages, pertaining to at least one of the user and a usage of the electromechanically machine by the user, are received from at least one of the electromechanical machine, a sensor, and the interface;

responsive to determining that the one or more messages have not been received, determining, via one or more machine learning models, one or more preventative actions to perform; and

cause the one or more preventative actions to be performed.

2. The computer-implemented system of claim 1 , wherein the one or more preventative actions includes at least one of causing a telecommunications transmission to be initiated, stopping the electromechanical machine from operating, and modifying a speed at which the electromechanical machine operates.

3. The computer-implemented system of claim 1 , wherein the one or more messages not being received corresponds to at least one of a telecommunications failure, a video communication failure, an audio communication failure, and a data acquisition failure.

4. The computer-implemented system of claim 1 , wherein, while the user uses the electromechanical machine to perform the treatment plan, the one or more messages include information pertaining to a cardiac health of the user.

5. The computer-implemented system of claim 1 , wherein the processing device is further configured to:

determine a maximum target heart rate for the user while the user uses the electromechanical machine to perform the treatment plan;

receive, via the interface, an input pertaining to a perceived exertion level of the user;

based on the perceived exertion level and the maximum heart rate, determine an amount of resistance for the electromechanical machine to provide via one or more pedals;

while the user performs the treatment plan, cause the electromechanical machine to provide the amount of resistance.

6. The computer-implemented system of claim 1 , wherein the processing device is further configured to:

determine a condition associated with the user; and

based on the condition and the one or more messages not being received, determine the one or more preventative actions.

7. The computer-implemented system of claim 6 , wherein the condition pertains to at least one of a cardiac rehabilitation, an oncology rehabilitation, a rehabilitation from pathologies related to a prostate gland or a urogenital tract, a pulmonary rehabilitation, and a bariatric rehabilitation.

8. A computer-implemented method comprising:

determining whether one or more messages are received from at least one of an electromechanical machine, a sensor, and an interface, wherein the one or more messages pertain to at least one of a user and a usage of the electromechanical machine by the user, and wherein the electromechanical machine is configured to be manipulated by the user while the user is performing a treatment plan;

responsive to determining that the one or more messages have not been received, determining, using one or more machine learning models, one or more preventative actions to perform; and

causing the one or more preventative actions to be performed.

9. The computer-implemented method of claim 8 , wherein the one or more preventative actions comprise causing at least one of a telecommunications transmission to be initiated, stopping the electromechanical machine from operating, and modifying a speed at which the electromechanical machine operates.

10. The computer-implemented method of claim 8 , wherein the one or more messages not being received corresponds to at least one of a telecommunications failure, a video communication failure, an audio communication failure, and a data acquisition failure.

11. The computer-implemented method of claim 8 , wherein, while the user uses the electromechanical machine to perform the treatment plan, the one or more messages include information pertaining to a cardiac health of the user.

12. The computer-implemented method of claim 8 , further comprising:

determining a maximum target heart rate for the user while the user uses the electromechanical machine to perform the treatment plan;

receiving, via the interface, an input pertaining to a perceived exertion level of the user;

based on the perceived exertion level and the maximum heart rate, determining an amount of resistance for the electromechanical machine to provide via one or more pedals;

while the user performs the treatment plan, causing the electromechanical machine to provide the amount of resistance.

13. The computer-implemented method of claim 8 , further comprising:

determining a condition associated with the user; and

based on the condition and the determination that the one or more messages have not been received, determining the one or more preventative actions.

14. The computer-implemented method of claim 13 , wherein the condition pertains to at least one of a cardiac rehabilitation, an oncology rehabilitation, a rehabilitation from pathologies related to a prostate gland or a urogenital tract, a pulmonary rehabilitation, and a bariatric rehabilitation.

15. A tangible, non-transitory computer-readable medium storing instructions that, when executed, cause a processing device to:

determine whether one or more messages are received from at least one of an electromechanical machine, and a sensor, an interface, wherein the one or more messages pertain to at least one of a user and a use of the electromechanical machine by the user, and wherein the electromechanical machine is configured to be manipulated by a user while the user is performing a treatment plan;

responsive to determining that the one or more messages have not been received, determine, via one or more machine learning models, one or more preventative actions to perform; and

cause the one or more preventative actions to be performed.

16. The computer-readable medium of claim 15 , wherein the one or more preventative actions comprise causing at least one of a telecommunications transmission to be initiated, stopping the electromechanical machine from operating, and modifying a speed at which the electromechanical machine operates.

17. The computer-readable medium of claim 15 , wherein the one or more messages not being received pertains to at least one of a telecommunications failure, a video communication being lost, an audio communication being lost, and a data acquisition being compromised.

18. The computer-readable medium of claim 15 , wherein, while the user uses the electromechanical machine to perform the treatment plan, the one or more messages include information pertaining to a cardiac health of the user.

19. The computer-readable medium of claim 15 , wherein the instructions further cause the processing device to:

determine a maximum target heart rate for the user while the user uses the electromechanical machine to perform the treatment plan;

receive, via an interface, an input pertaining to a perceived exertion level of the user;

based on the perceived exertion level and the maximum heart rate, determine an amount of resistance for the electromechanical machine to provide via one or more pedals;

while the user performs the treatment plan, cause the electromechanical machine to provide the amount of resistance.

20. The computer-readable medium of claim 15 , wherein the instructions further cause the processing device to:

determine a condition associated with the user; and

based on the condition associated with the user and the one or more messages not being received, determine the one or more preventative actions.