首页> 外国专利> SYSTEMS AND METHODS FOR USING MACHINE LEARNING TO CONTROL AN ELECTROMECHANICAL DEVICE USED FOR PREHABILITATION, REHABILITATION, AND/OR EXERCISE

SYSTEMS AND METHODS FOR USING MACHINE LEARNING TO CONTROL AN ELECTROMECHANICAL DEVICE USED FOR PREHABILITATION, REHABILITATION, AND/OR EXERCISE

机译:用于使用机器学习的系统和方法来控制用于验证,康复和/或运动的机电装置

摘要

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.
机译:公开了用于操作机电装置的系统,方法和计算机可读介质。在一个示例中,该系统包括机电装置,患者门户网站和计算设备。计算设备被配置为接收与用户有关的用户数据,并接收与治疗计划和结果有关的治疗数据。计算设备还被配置为通过使用机器学习模型来生成预漏平计划来处理用户数据和治疗数据。计算设备进一步被配置为对于机电装置,可以通过用户执行练习的机电装置配置,使得能够由用户执行,使得性能改善了用户身体的区域。计算设备还被配置为使机电装置能够实现机电装置配置。

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