Systems and methods for using elliptical machine to perform cardiovascular rehabilitation

Abstract

Systems including an elliptical machine and a processing device. The processing device may be configured to receive, before or while a user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user. The processing device may be also configured to determine whether the one or more messages were received by the processing device. In response to determining that the one or more messages were not received by the processing device, the processing device may be configured to determine, via one or more machine learning models, one or more actions to perform. The one or more actions may include at least one of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine.

What is claimed is: 
     
         1 . A system, comprising:
 an elliptical machine configured to be manipulated by a user while the user operates the elliptical machine; and   a processing device configured to:
 receive, before or while the user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user, 
 determine whether the one or more messages were received by the processing device, and 
 in response to determining that the one or more messages were not received by the processing device
 determine, via one or more machine learning models, one or more actions to perform, the one or more actions including at least one selected from the group consisting of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine, and 
 perform the one or more actions. 
 
   
     
     
         2 . The system of  claim 1 , further comprising a sensor communicatively coupled to the processing device and configured to detect cardiac conditions of the user, wherein the sensor sends the one or more messages to the processing device, and the one or more messages pertain to the cardiac conditions of the user. 
     
     
         3 . The system of  claim 1 , wherein the one or more messages not being received corresponds to at least selected from the group consisting of a telecommunications failure, a video communication failure, an audio communication failure, and a data acquisition failure. 
     
     
         4 . The system of  claim 1 , wherein the processing device is further configured to:
 while the user operates the elliptical machine, determine a maximum target heart rate for the user,   receive, via an interface, an input pertaining to a perceived exertion level of the user,   determine, based on the perceived exertion level and the maximum target heart rate, an amount of resistance for the elliptical machine to provide, and   while the user operates the elliptical machine, adjust the elliptical machine to provide the amount of resistance.   
     
     
         5 . The 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 actions to be performed.   
     
     
         6 . The system of  claim 5 , wherein the condition pertains to at least one selected from the group consisting of a cardiac rehabilitation, an oncology rehabilitation, a rehabilitation from pathologies related to a prostate gland, male or female urogenital tract or male or female sexual reproduction, including pathologies related to a breast, a pulmonary rehabilitation, a bariatric rehabilitation, and a neurologic rehabilitation. 
     
     
         7 . A system, comprising:
 an elliptical machine configured to be manipulated by a user while the user performs a treatment plan;   one or more sensors;   a display; and   a processing device configured to:
 receive, from the one or more sensors while the user performs the treatment plan, one or more measurements associated with the user, 
 determine, via one or more machine learning models, one or more content items to present to the user, wherein the determining is based on the one or more measurements and one or more characteristics of the user, and 
 display, on the display while the user performs the treatment plan, the one or more content items, wherein the one or more content items comprise at least information related to a state of the user, and wherein the state of the user is associated with the one or more measurements or the one or more characteristics. 
   
     
     
         8 . The system of  claim 7 , wherein the one or more content items pertain to at least one selected from the group consisting of a cardiac rehabilitation, an oncologic rehabilitation, a cardio-oncologic rehabilitation, a rehabilitation from pathologies related to a prostate gland, male or female urogenital tract or male or female sexual reproduction, including pathologies related to a breast, a pulmonary rehabilitation, a bariatric rehabilitation, and a neurologic rehabilitation. 
     
     
         9 . The system of  claim 7 , wherein the processing device is further configured to:
 modify one or more risk factors of the user by presenting the one or more content items.   
     
     
         10 . The system of  claim 7 , wherein the processing device is further configured to:
 receive, from one or more peripheral devices, input from the user, wherein the input from the user comprises at least one selected from the group consisting of a request to view more details related to the information, a request to receive different information, a request to receive related or complementary information, and a request to stop presentation of the information.   
     
     
         11 . The system of  claim 7 , wherein, based on the one or more content items, the processing device is further configured to:
 modify one or more operating parameters of the elliptical machine.   
     
     
         12 . The system of  claim 7 , wherein, based on a use of the elliptical machine by the user, the processing device is further configured to modify, in real-time or near real-time, a playback of the one or more content items. 
     
     
         13 . A computer-implemented system, comprising:
 a memory device storing instructions; and   a processing device communicatively coupled to the memory device, wherein the processing device executes the instructions to:
 receive health information associated with one or more users, 
 for each user of the one or more users:
 determine, based on health information associated with the user, a respective eligibility of the user for cardiac rehabilitation or prehabilitation, 
 
 determine, based on the respective eligibilities, that at least one user of the one or more users is eligible for cardiac rehabilitation or prehabilitation, 
 generate a treatment plan for the at least one user, wherein the treatment plan pertains to a cardiac rehabilitation or prehabilitation that is specific to the at least one user, and 
 assign the treatment plan to at least one elliptical machine to enable the user to perform the cardiac rehabilitation or prehabilitation. 
   
     
     
         14 . The computer-implemented system of  claim 13 , wherein the determination of eligibility of the at least one user is based on the respective eligibility of the at least one user satisfying a threshold or the health information satisfying at least one condition of eligibility. 
     
     
         15 . The computer-implemented system of  claim 13 , wherein the health information is received from an electronic medical records source or a third-party source. 
     
     
         16 . The computer-implemented system of  claim 13 , wherein, for a given user, the health information associated with the given user indicates at least one selected from the group consisting of geographical region characteristics associated with the given user, underrepresented minority group characteristics associated with the given user, sex characteristics associated with the given user, nationality characteristics associated with the given user, cultural heritage characteristics associated with the given user, disability characteristics associated with the given user, sexual preference characteristics associated with the given user, genotype characteristics associated with the given user, phenotype characteristics associated with the given user, gender characteristics associated with the given user, and risk level characteristics associated with the given user. 
     
     
         17 . The computer-implemented system of  claim 13 , wherein:
 the treatment plan for the at least one user is based on one or more characteristics of the at least one user, and the one or more characteristics of the at least one user comprise information pertaining to at least one selected from the group consisting of a cardiac health of the at least one user, a pulmonary health of the at least one user, an oncologic health of the at least one user, and a bariatric health of the at least one user, and   the treatment plan is generated using one or more machine learning models.   
     
     
         18 . The computer-implemented system of  claim 13 , wherein the processing device further executes the instructions to:
 determine a geographic location accessible to the at least one user, and   cause the elliptical machine to be deployed to the geographic location to enable the at least one user to perform, using the elliptical machine, the cardiac rehabilitation or prehabilitation.   
     
     
         19 . A system, comprising:
 an elliptical machine configured to be manipulated by a user while the user performs a treatment plan; and   a processing device configured to:
 receive a plurality of risk factors associated with a cardiac-related event for the user, 
 generate a selected set of the risk factors, 
 determine, based on the selected set of the risk factors, a probability that a cardiac intervention will occur, and 
 generate, based on the probability and the selected set of the risk factors, the treatment plan including one or more exercises directed to reducing the probability that the cardiac intervention will occur. 
   
     
     
         20 . The system of  claim 19 , wherein the processing device is configured to execute a risk factor model, and wherein, to generate the selected set of the risk factors, the risk factor model is configured to at least one of assign weights to the risk factors, rank the risk factors, and filter the risk factors. 
     
     
         21 . The system of  claim 20 , wherein the processing device is configured to execute a probability model, wherein the probability model is configured to determine the probability that the cardiac intervention will occur. 
     
     
         22 . The system of  claim 21 , wherein the probability model is configured to determine the probability based on respective probabilities associated with individual ones of the selected set of the risk factors. 
     
     
         23 . The system of  claim 21 , wherein the processing device is configured to execute a treatment plan model, wherein the treatment plan model is configured to generate the treatment plan based on individual probabilities of the cardiac intervention of respective ones of the selected set of the risk factors. 
     
     
         24 . The system of  claim 23 , wherein the treatment plan model is configured to generate the treatment plan based on an identified one of the selected set of the risk factors having a largest contribution to the probability that the cardiac intervention will occur. 
     
     
         25 . The system of  claim 24 , wherein, subsequent to implementing the treatment plan using the elliptical machine, the processing device is configured to modify the treatment plan based on a determination of whether the treatment plan reduced either one of (i) the probability that the cardiac intervention will occur and (ii) the identified one of the selected set of the risk factors. 
     
     
         26 . The system of  claim 25 , wherein the processing device is configured to transmit the modified treatment plan to cause the elliptical machine to implement at least one modified exercise of the modified treatment plan. 
     
     
         27 . The system of  claim 19 , wherein the cardiac intervention is for minimizing one or more negative effects of the cardiac-related event. 
     
     
         28 . The system of  claim 19 , wherein the processing device is configured to initiate, while the user performs the treatment plan, a telemedicine session between a computing device of the user and a computing device of a healthcare professional. 
     
     
         29 . The system of  claim 19 , wherein the plurality of risk factors comprise modifiable risk factors and non-modifiable risk factors.