Granted Patent B2

US 12,249,410 · App. 17/397,385 · Granted Mar 11, 2025

Inventors: Steven Mason (Las Vegas, NV); Daniel Posnack (Fort Lauderdale, FL); Peter Arn (Roxbury, CT); Wendy Para (Las Vegas, NV); S. Adam Hacking (Nashua, NH); Micheal Mueller (Oil City, PA); Joseph Guaneri (Merrick, NY); Jonathan Greene (Denver, CO)

Assignee: ROM Technologies, Inc.

G16H20/10G06F3/048G06N3/08G16H20/30G16H40/67

Abstract

Claims (44)

1. A computer-implemented system, comprising:

an interface comprising an output device and an input device, the input device configured to receive user input correlating with at least one pain level of a user during one or more exercise sessions; and

a computing device configured to:

receive data pertaining to the user;

receive the user input from the interface;

use a plan, the data, and the input to generate at least one threshold, wherein the plan comprises one or more exercise routines for the user to complete on an exercise machine during the one or more exercise sessions;

responsive to an occurrence of exceeding the at least one threshold, using an artificial intelligence engine to modify the plan; and

based on the modified plan, control, using the artificial intelligence engine, an electromechanical machine configured to be manipulated by the user while the user performs the one or more exercise sessions.

2. The computer-implemented system of claim 1 , wherein the data comprises at least one of characteristics of the user and measurement information pertaining to the user while the user uses the exercise machine.

3. The computer-implemented system of claim 1 , wherein the computing device is further configured to control, based on the modified plan, the exercise machine while the user uses the exercise machine during a telemedicine session.

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

receive modified user input from the interface correlating with an updated pain level of the user;

use the modified plan, the data, and the modified input to generate at least one modified threshold; and

responsive to an occurrence of exceeding the at least one modified threshold, modify the modified plan.

5. The computer-implemented system of claim 1 , wherein, to modify the plan, the computing device is further configured to generate at least one updated exercise routine during one of the one or more exercise sessions.

6. A method for modifying, by an artificial intelligence engine, a plan for optimizing user outcome and pain levels during one or more exercise sessions, the method comprising:

receiving data pertaining to the user;

receiving user input correlating with at least one of the pain levels of the user;

using the plan, the data, and the user input to generate at least one threshold, wherein the plan comprises one or more exercise routines for the user to complete on an exercise machine during the one or more exercise sessions;

responsive to an occurrence of exceeding the at least one threshold, using the artificial intelligence engine to modify the plan; and

based on the modified plan, controlling, using the artificial intelligence engine, an electromechanical machine configured to be manipulated by the user while the user performs the one or more exercise sessions.

7. The method of claim 6 , wherein the data comprises at least one of characteristics of the user.

8. The method of claim 7 , wherein the data comprises at least one of the characteristics of the user and measurement information pertaining to the user while the user uses the exercise machine.

9. The method of claim 6 , further comprising controlling, based on the modified plan, the exercise machine while the user uses the exercise machine during a telemedicine session.

10. The method of claim 6 , further comprising:

receiving modified user input correlating with an updated pain level of the user;

using the modified plan, the data, and the modified user input to generate at least one modified threshold; and

responsive to an occurrence of exceeding the at least one modified threshold, using the artificial intelligence engine to modify the modified plan.

11. The method of claim 6 , wherein modifying the plan comprises generating at least one updated exercise routine during one of the one or more exercise sessions.

12. The method of claim 6 , wherein:

at least one of the data and the user input is received in real-time or near real-time, and wherein the plan is modified in real-time or near real-time.

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

receive data pertaining to a user;

receive user input correlating with at least one pain level of the user during one or more exercise sessions;

use a plan, the data, and the user input to generate at least one threshold, wherein the plan comprises one or more exercise routines for the user to complete on an exercise machine during one or more exercise sessions;

responsive to an occurrence of exceeding the at least one threshold, use an artificial intelligence engine to modify the plan; and

based on the modified plan, control, using the artificial intelligence engine, an electromechanical machine configured to be manipulated by the user while the user performs the one or more exercise sessions.

14. The computer-readable medium of claim 13 , wherein the data comprises at least one of characteristics of the user.

15. The computer-readable medium of claim 14 wherein the data comprises at least the one of characteristics of the user and measurement information pertaining to the user while the user uses the exercise machine.

16. The computer-readable medium of claim 13 , wherein the processing device is further configured to control, based on the modified plan, the exercise machine while the user uses the exercise machine during a telemedicine session.

17. The computer-readable medium of claim 13 , wherein the processing device is further configured to:

receive modified user input correlating with an updated pain level of the user;

use the modified plan, the data, and the modified user input to generate at least one modified threshold; and

responsive to an occurrence of exceeding the at least one modified threshold, use the artificial intelligence engine to modify the modified treatment plan.

Assignments (7)

Continuity (4)

References Cited (400)