Method and system for monitoring actual patient treatment progress using sensor data
Inventors
Mason, Steven • Posnack, Daniel • Arn, Peter • Para, Wendy • Hacking, S. Adam • Mueller, Micheal • GUANERI, Joseph • Greene, Jonathan
Assignees
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Publication Number
US-12478837-B2
Publication Date
2025-11-25
Expiration Date
Abstract
A method includes receiving treatment data pertaining to a user capable of using a treatment device to perform a treatment plan and receiving activity data pertaining to the user while the user engages in at least one activity. The method also includes generating treatment information using the treatment data and the activity data and writing to an associated memory, for access by a healthcare professional, the treatment information. The method also includes modifying at least one aspect of the treatment plan in response to receiving, from the healthcare professional, treatment plan input including at least one modification to the at least one aspect of the treatment plan.
Core Innovation
The system receives treatment data pertaining to a user capable of using a treatment device comprising at least one rotating pedal and user-related data. It generates delta information indicating at least a difference between aspects of the treatment data and user-related data. In response to treatment analysis output indicating a treatment action associated with a user condition, the system performs that action.
Treatment data includes aspects of the treatment plan, user or device characteristics, treatment measurements, and performance measurements, such as pedal pressure, rotation, vital signs, wearable-sensor measurements, and activity data. Disclosed treatment actions include modifying the treatment plan or device settings, controlling the treatment device, selecting an optimal treatment plan, or generating and transmitting notifications. Described workflows encompass telemedicine sessions, storing delta information for healthcare-provider access, and using a machine-learning engine or artificial intelligence model.
Claims Coverage
The patent comprises three independent claims directed to a method, a tangible non-transitory computer-readable medium, and a processor-based system, which collectively recite three inventive features.
Method for generating delta information and performing a treatment action
The method claim covers receiving treatment data pertaining to a user using a treatment device comprising at least one rotating pedal, receiving user-related data, generating delta information indicating at least a difference between aspects of the treatment data and user-related data, and performing an indicated condition-associated treatment action in response to treatment-analysis output.
Computer-readable medium storing treatment-processing instructions
The computer-readable medium claim covers a tangible, non-transitory computer-readable medium storing instructions that cause a processing device to receive treatment data and user-related data, generate delta information indicating at least a difference between aspects of the data, and perform a treatment action indicated by treatment-analysis output and associated with a condition of the user.
Processor-and-memory system for treatment processing
The system claim covers a processor and a memory containing instructions that cause the processor to receive treatment data and user-related data, generate delta information indicating at least a difference between aspects of the data, and perform a treatment action indicated by treatment-analysis output and associated with a condition of the user.
The three independent claims cover receiving treatment data and user-related data, generating delta information indicating a difference between them, and performing an indicated condition-associated treatment action across method, computer-readable medium, and system forms.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Sensor-based treatment monitoring and workflows involving a treatment device comprising at least one rotating pedal, processing treatment data and user-related data to generate delta information and identify potential or current user conditions to perform condition-associated treatment actions such as modifying a treatment plan, controlling the treatment device, or transmitting notifications.
Telemedicine sessions and healthcare workflows that store delta information for healthcare-provider access and employ a machine-learning engine or artificial intelligence model to generate treatment-analysis output.
Selection of an optimal treatment plan followed by control of the treatment apparatus during use.
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