Systems and methods for using machine learning to control an electromechanical device used for prehabilitation, rehabilitation, and/or exercise
US11325005B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 15, 2021 |
| Grant date | May 10, 2022 |
| Priority date | — |
| Expiry date | Jan 15, 2041 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA63B2230/208
- WIPO fieldFurniture, games
- WIPO sectorOther fields
Abstract
Systems, methods, and computer-readable mediums for operating an electromechanical device are disclosed. The system includes, in one example, the electromechanical device, a patient portal, and a computing device. The computing device is configured to receive user data relating to a user, and receive treatment data relating to treatment plans and outcomes. The computing device is also configured to generate a prehabilitation plan by using a machine learning model to process the user data and the treatment data. The computing device is further configured to select, for the electromechanical device, an electromechanical device configuration that enables exercises of the prehabilitation plan to be performed by the user such that performance improves an area of the user's body. The computing device is also configured to enable the electromechanical device to implement the electromechanical device configuration.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.