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公开(公告)号:US20250140369A1
公开(公告)日:2025-05-01
申请号:US19010730
申请日:2025-01-06
Applicant: ROM TECHNOLOGIES, INC.
Inventor: STEVEN MASON , DANIEL POSNACK , PETER ARN , WENDY PARA , S. ADAM Brookfield HACKING , MICHEAL MUELLER , JOSEPH GUANERI , JONATHAN GREENE
Abstract: A computer-implemented system comprising a treatment apparatus, a patient interface, and a processing device is disclosed. The processing device is configured to receive treatment data pertaining to the user during the telemedicine session, wherein the treatment data comprises one or more characteristics of the user; determine, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data; determine, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens; and transmit the treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user.
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2.
公开(公告)号:US20250135273A1
公开(公告)日:2025-05-01
申请号:US19010485
申请日:2025-01-06
Applicant: ROM Technologies, Inc.
Inventor: S. Adam Hacking , Daniel Lipszyc
IPC: A63B22/06 , A61B5/00 , A61B5/11 , A61B5/22 , A61H1/02 , A63B21/00 , A63B21/005 , A63B22/00 , A63B24/00 , A63B71/00 , A63B71/06 , G06F3/04817 , G06F3/0482 , G06F3/04847 , G16H20/30 , H04N23/60
Abstract: In some embodiments, a system for rehabilitation includes an electronic device including a memory device for storing instructions, a network interface card, and a sensor. The system includes a processing device operatively coupled to the memory device, the network interface card, and the sensor, wherein the processing device executes the instructions to determine angles while a user is engaging one or more pedals of an electromechanical device, and transmit, via the network interface card, the angles to a computing device controlling the electromechanical device, and based on the angles satisfying a range of one or more respective motion threshold conditions, wherein, while the user operates at least one of the one or more pedals, the transmitting the angles to the computing device causes the computing device to increase a diameter of a range of motion of one of the one or more pedals.
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公开(公告)号:US12249410B2
公开(公告)日:2025-03-11
申请号:US17397385
申请日:2021-08-09
Applicant: ROM TECHNOLOGIES, INC.
Inventor: Steven Mason , Daniel Posnack , Peter Arn , Wendy Para , S. Adam Hacking , Micheal Mueller , Joseph Guaneri , Jonathan Greene
Abstract: Systems, methods, and computer-readable mediums for modifying, by an artificial intelligence engine, a treatment plan for optimizing patient outcome and pain levels during treatment sessions. The system includes, in one implementation, a treatment apparatus, a patient interface, and a computing device. The treatment apparatus is configured to be manipulated by a patient while the patient performs the treatment sessions. The computing device is configured to receive the treatment plan for the patient and treatment data pertaining to the patient. The computing device is also configured to receive patient input from the patient interface correlating with the pain levels of the patient. The computing device is further configured to use the treatment plan, the treatment data, and the patient input to generate at least one threshold. Responsive to an occurrence of exceeding the at least one threshold, the computing device is configured to modify the treatment plan.
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公开(公告)号:US12224052B2
公开(公告)日:2025-02-11
申请号:US18217365
申请日:2023-06-30
Applicant: ROM TECHNOLOGIES, INC.
Inventor: Joel Rosenberg , Steven Mason
Abstract: A computer-implemented system includes one or more processing devices configured to receive attribute data associated with a user, generate, based on the attribute data and a first health issue of the user, a selected set of the attribute data, the first health issue corresponding to a first long-term care health issue of the user, determine, based on the selected set of the attribute data, a first probability associated with treating the first health issue, generate, based on the first probability, a treatment plan that includes one or more exercises directed to modifying the first probability, and modify, based on at least one of the first probability and a second probability, the treatment plan. The second probability is associated with treating a second health issue of the user. A treatment apparatus is configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.
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公开(公告)号:US20250018244A1
公开(公告)日:2025-01-16
申请号:US18766018
申请日:2024-07-08
Applicant: ROM Technologies, Inc.
Inventor: S. Adam HACKING , Daniel LIPSZYC
IPC: A63B22/06 , A61B5/00 , A61B5/11 , A61B5/22 , A61H1/02 , A63B21/00 , A63B21/005 , A63B22/00 , A63B24/00 , A63B71/00 , A63B71/06 , G06F3/04817 , G06F3/0482 , G06F3/04847 , G16H20/30 , H04N23/60
Abstract: A system for rehabilitation is disclosed. The system for rehabilitation includes a monitoring device that includes a memory device storing instructions and a network interface card. The monitoring device is configured to detect information from a body part of a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the monitoring device. The one or more processing devices are configured to execute the instructions to receive configuration information specified in a treatment plan for rehabilitating the body part of the user. The one or more processing devices are configured to execute the instructions for receiving the information from the monitoring device. The one or more processing devices are further configured to execute the instructions to transmit the configuration information and the information to a computing device controlling an electromechanical device, via the network interface card.
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公开(公告)号:US20240347215A1
公开(公告)日:2024-10-17
申请号:US18635563
申请日:2024-04-15
Applicant: ROM Technologies, Inc.
Inventor: Michael Bissonnette , Luis Berga , Steven Mason , Philip Powers , James D. Steidl
IPC: G16H80/00 , G06F40/205 , G06N3/02 , G06N20/00 , G16H10/60 , G16H20/10 , G16H20/60 , G16H20/70 , G16H40/67
CPC classification number: G16H80/00 , G06F40/205 , G06N3/02 , G06N20/00 , G16H10/60 , G16H20/10 , G16H20/60 , G16H20/70 , G16H40/67
Abstract: A method is disclosed for using an artificial intelligence engine to modify resistance of one or more pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the exercise device to modify the resistance of the one or more pedals. The method includes receiving the one or more measurements from a sensor associated with the one or more pedals of the exercise device, determining whether the one or more measurements satisfy a trigger condition, and responsive to determining that the one or more measurements satisfy the trigger condition, transmitting the control instruction to the exercise device.
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公开(公告)号:US12083381B2
公开(公告)日:2024-09-10
申请号:US17552168
申请日:2021-12-15
Applicant: ROM TECHNOLOGIES, INC.
Inventor: S. Adam Hacking , Daniel Lipszyc
IPC: A63B22/06 , A61B5/11 , A61B5/22 , A61H1/02 , A63B21/00 , A63B21/005 , A63B22/00 , A63B24/00 , A63B71/00 , A63B71/06 , G06F3/04817 , G06F3/0482 , G16H20/30 , H04N23/60 , A61B5/00 , G06F3/04847
CPC classification number: A63B22/0605 , A61B5/1121 , A61B5/221 , A61H1/0214 , A63B21/00072 , A63B21/00178 , A63B21/00181 , A63B21/0058 , A63B21/4034 , A63B24/0062 , A63B24/0075 , A63B71/0054 , G06F3/04817 , G06F3/0482 , G16H20/30 , H04N23/60 , A61B5/4824 , A61B5/6812 , A63B2022/0094 , A63B2024/0068 , A63B2024/0093 , A63B2024/0096 , A63B2071/0081 , A63B71/0622 , A63B2071/0647 , A63B2071/0658 , A63B2071/0675 , A63B2209/08 , A63B2220/17 , A63B2220/24 , A63B2220/40 , A63B2220/51 , A63B2220/807 , A63B2220/833 , A63B2220/836 , A63B2225/096 , A63B2225/20 , A63B2225/52 , G06F3/04847
Abstract: A system for rehabilitation is disclosed. The system for rehabilitation includes one or more electronic devices comprising one or more memory devices storing instructions, one or more network interface cards, and one or more sensors, wherein the one or more electronic devices are coupled to a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the one or more memory devices, the one or more network interface cards, and the one or more sensors. The one or more processing devices are configured to execute the instructions to receive information from the one or more sensors. The one or more processing devices are further configured to execute the instructions to transmit the information to a computing device controlling an electromechanical device, via the one or more network interface cards.
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8.
公开(公告)号:US20240212814A1
公开(公告)日:2024-06-27
申请号:US18595100
申请日:2024-03-04
Applicant: ROM Technologies, Inc.
Inventor: Steven Mason , Daniel Posnack , Peter Arn , Wendy Para , S. Adam Hacking , Micheal Mueller , Joseph Guaneri , Jonathan Greene
Abstract: A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan and a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session. The computer-implemented system may also include a first computing device configured to: receive treatment data pertaining to the user while the user uses the treatment device to perform the treatment plan; write to an associated memory, for access by an artificial intelligence engine, the treatment data; receive, from the artificial intelligence engine, at least one prediction; identify a threshold corresponding to the at least one prediction; and, in response to a determination that the at least one prediction is outside of the range of the threshold, update the treatment data pertaining to the user to indicate the at least one prediction.
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公开(公告)号:US12020799B2
公开(公告)日:2024-06-25
申请号:US18132170
申请日:2023-04-07
Applicant: ROM Technologies, Inc.
Inventor: Joel Rosenberg , Steven Mason
CPC classification number: G16H20/30 , A63B24/0062 , G16H50/30 , A63B22/0076 , A63B2024/0065 , A63B2230/06
Abstract: A computer-implemented system may include a rowing machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and a processing device configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac-related event; generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability that a cardiac intervention will occur; and transmit the treatment plan to cause the rowing machine to implement the one or more exercises.
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公开(公告)号:US20240131394A1
公开(公告)日:2024-04-25
申请号:US18540568
申请日:2023-12-14
Applicant: ROM Technologies, Inc.
Inventor: Gordon HULL , Steven MASON , Jeff COTE
CPC classification number: A63B22/0605 , A63B22/0664 , A63B22/0694 , A63B24/0087 , A63B2225/09
Abstract: A computer-implemented system includes an electromechanical machine and a processing device communicatively coupled to motors. The processing device executes instructions to receive data comprising a treatment plan including one or more prescribed exercises for a user to perform using the electromechanical machine, generate, using a treatment machine description language and based on one or more desired goals of a user, a virtual apparatus model of the electromechanical machine, wherein the virtual apparatus model is generated by a trained machine learning model; and generate, using the virtual apparatus model and the data, a motion profile; and control, using the motion profile, the one or more motors.
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