IP Library › Granted Patent US 12,420,143
Granted Patent B1
US 12,420,143 · App. 18/056,675 · Granted Sep 23, 2025

System and method for enabling residentially-based cardiac rehabilitation by using an electromechanical machine and educational content to mitigate risk factors and optimize user behavior

Inventors: Joel Rosenberg (Brookfield, CT); Steven Mason (Las Vegas, NV)
Assignee: ROM Technologies, Inc.
A63B24/0062A63B71/0622G16H20/30G16H50/30A63B2022/0094
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Quick Facts
Patent No.
US 12,420,143
App. No.
18/056,675
Granted
Sep 23, 2025
Kind
B1
Abstract

A computer-implemented method is disclosed. The method includes receiving, from one or more sensors, one or more measurements associated with a user, where the one or more measurements are received while the user performs a treatment plan, and an electromechanical machine is configured to be manipulated by the user while the user is performing the treatment plan. The method also includes determining, via one or more machine learning models, one or more content items to present to the user, where the determining is based on the one or more measurements and one or more characteristics of the user. A presentation of the one or more content items is provided on an interface while the user performs the treatment plan using the electromechanical machine.

Claims (40)

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:

receive, from one or more sensors, one or more measurements associated with the user, wherein the one or more measurements are received while the user performs the treatment plan;

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;

while the user performs the treatment plan using the electromechanical machine, cause presentation of the one or more content items on the interface, wherein the one or more content items comprise at least information related to a state of the user, and the state of the user is associated with the one or more measurements, the one or more characteristics, or some combination thereof; and

based on the one or more content items, modify, via the one or more machine learning models, one or more operating parameters of the electromechanical machine.

2. The computer-implemented system of claim 1 , wherein the one or more content items pertain to cardiac rehabilitation, oncology rehabilitation, rehabilitation from pathologies related to the prostate gland or urogenital tract, pulmonary rehabilitation, bariatric rehabilitation, or some combination thereof.

3. The computer-implemented system of claim 1 , wherein the electromechanical machine is a cycling machine, a rowing machine, a stair-climbing machine, a treadmill, and/or an elliptical machine.

4. The computer-implemented system of claim 1 , 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.

5. The computer-implemented system of claim 1 , 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 a request to view more details related to the information, a request to receive different information, a request to receive related or complementary information, a request to stop presentation of the information, or some combination thereof.

6. The computer-implemented system of claim 1 , wherein, based on usage of the electromechanical machine by the user, the processing device is further configured to:

modify in real-time or near real-time playback of the one or more content items.

7. A computer-implemented method, comprising:

receiving, from one or more sensors, one or more measurements associated with a user, wherein the one or more measurements are received while the user performs a treatment plan, and an electromechanical machine is configured to be manipulated by the user while the user is performing the treatment plan;

determining, 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;

while the user performs the treatment plan using the electromechanical machine, causing presentation of the one or more content items on an interface, wherein the one or more content items comprise at least information related to a state of the user, and the state of the user is associated with the one or more measurements, the one or more characteristics, or some combination thereof; and

based on the one or more content items, modify, via the one or more machine learning models, one or more operating parameters of the electromechanical machine.

8. The computer-implemented method of claim 7 , wherein the one or more content items pertain to cardiac rehabilitation, oncology rehabilitation, rehabilitation from pathologies related to the prostate gland or urogenital tract, pulmonary rehabilitation, bariatric rehabilitation, or some combination thereof.

9. The computer-implemented method of claim 7 , wherein the electromechanical machine is at least one of a cycling machine, a rowing machine, and a stair-climbing machine, a treadmill, and an elliptical machine.

10. The computer-implemented method of claim 7 , further comprising:

modifying one or more risk factors of the user by presenting the one or more content items.

11. The computer-implemented method of claim 7 , further comprising:

receiving, from one or more peripheral devices, input from the user, wherein the input from the user comprises a request to view more details related to the information, a request to receive different information, a request to receive related or complementary information, a request to stop presentation of the information, or some combination thereof.

12. The computer-implemented method of claim 7 , further comprising, based on usage of the electromechanical machine by the user:

modifying in real-time or near real-time playback of the one or more content items.

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

receive, from one or more sensors, one or more measurements associated with a user, wherein the one or more measurements are received while the user performs a treatment plan, and an electromechanical machine is configured to be manipulated by the user while the user is performing the treatment plan;

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;

while the user performs the treatment plan using the electromechanical machine, cause presentation of the one or more content items on an interface, wherein the one or more content items comprise at least information related to a state of the user, and the state of the user is associated with the one or more measurements, the one or more characteristics, or some combination thereof; and

based on the one or more content items, modify, via the one or more machine learning models, one or more operating parameters of the electromechanical machine.

14. The computer-readable medium of claim 13 , wherein the one or more content items pertain to cardiac rehabilitation, oncology rehabilitation, rehabilitation from pathologies related to the prostate gland or urogenital tract, pulmonary rehabilitation, bariatric rehabilitation, or some combination thereof.

15. The computer-readable medium of claim 13 , wherein the electromechanical machine is at least one of a cycling machine, a rowing machine, and a stair-climbing machine, a treadmill, and an elliptical machine.

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

modify one or more risk factors of the user by presenting the one or more content items.

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

receive, from one or more peripheral devices, input from the user, wherein the input from the user comprises a request to view more details related to the information, a request to receive different information, a request to receive related or complementary information, a request to stop presentation of the information, or some combination thereof.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 28, 2026
From: ROSENBERG, JOEL, DR.; MASON, STEVEN
To: ROM TECHNOLOGIES INC.
Reel/Frame 075423/0212 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 15, 2022
From: ROSENBERG, JOEL, DR.; MASON, STEVEN
To: ROM TECHNOLOGIES, INC.
Reel/Frame 062103/0574 →
Continuity (7)
Continuation In Part 17736891 · May 4, 2022
Continuation In Part 17379542 · Jul 19, 2021
Continuation In Part 17146705 · Jan 12, 2021
Continuation In Part 17021895 · Sep 15, 2020
Provisional Application 63407049 · Sep 15, 2022
Provisional Application 63113484 · Nov 13, 2020
Provisional Application 62910232 · Oct 3, 2019
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