Hierarchical adaptive closed-loop fluid resuscitation and cardiovascular drug administration system
Inventors
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Assignees
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Autonomous HealthcareAutonomous Healthcare develops autonomous systems for critical care, applying advanced algorithms and modeling to automate and support processes such as mechanical ventilation and hemodynamic management in intensive care units. The company leverages expertise from aerospace engineering and artificial intelligence to provide continuous clinical vigilance, validated through rigorous research and regulatory milestones.
Autonomous Healthcare develops autonomous systems for critical care, applying advanced algorithms and modeling to automate and support processes such as mechanical ventilation and hemodynamic management in intensive care units. The company leverages expertise from aerospace engineering and artificial intelligence to provide continuous clinical vigilance, validated through rigorous research and regulatory milestones.
Publication Number
US-10926031-B2
Publication Date
2021-02-23
Expiration Date
Abstract
The present disclosure describes a closed-loop fluid resuscitation and/or cardiovascular drug administration system that uses continuous measurements and adaptive control architecture. The adaptive control architecture uses a function approximator to identify unknown dynamics and physiological parameters of a patient to compute appropriate infusion rates and to regulate the endpoint of resuscitation.
Core Innovation
The invention provides a computer-implemented method and clinical decision support for regulating hemodynamic measurements of a subject by fluid resuscitation and/or cardiovascular drug administration. The method receives at least one initial infusion rate via a user interface, records it as a last user-approved infusion rate in a database, and receives hemodynamic measurements from at least one medical monitoring device attached to the subject.
A hierarchical control architecture system is used in which the hemodynamic measurements are received by a higher-level logic controller and at least one lower-level controller in communication with one another. The lower-level controller includes a dynamic observer with a set of dynamic observer states for estimating a current value of physiological parameters, and a dynamical system using a function approximator with basis functions and weights to approximate at least one unknown function describing distribution of the fluid and/or drug in the body.
Weights or parameters of the lower-level controller are initialized based at least in part on the initial infusion rate and are updated based at least in part on the current values of the weights, the observer states, and the hemodynamic measurements. The lower-level controller generates an altered infusion rate, and the higher-level logic controller verifies whether the infusion rate meets requirements to notify the user and engages logic-based operation.
The higher-level logic controller displays the altered infusion rate as a suggested infusion rate and asks the user to accept the altered infusion rate or change it to a different value. The higher-level logic controller resets internal states, including at least one element of the set of weights or at least one parameter of the internal dynamical system model, to a new value such that the altered background infusion rate computed by the lower-level controller matches the altered infusion rate changed by the user.
Claims Coverage
Independent claims clm-00001, clm-00010, clm-00018, and clm-00027 cover both a computer-implemented method and an apparatus/system for hierarchical control of infusion therapy with user verification and controller-weight/state resetting. Across the independent claims, there are four main inventive feature groupings.
Hierarchical control architecture with dynamic observer and function approximator weights
A hierarchical control architecture system comprising at least one lower-level controller and a higher-level logic controller, where the lower-level controller includes a dynamic observer comprising a set of dynamic observer states and a dynamical system using a function approximator comprising a set of basis functions and a set of weights to approximate at least one unknown function describing distribution of the fluid and/or drug in the body of the subject.
Initialization and adaptive updating of lower-level controller based on initial infusion rate and hemodynamic measurements
Initializing the value of the set of weights of the at least one lower-level controller based at least in part on the at least one initial infusion rate, and updating the set of weights of the at least one lower-level controller based at least in part on the current value of the set of weights, the set of dynamic observer states, and current value of the hemodynamic measurements.
User-facing suggested infusion rate with last user-approved infusion rate tracking and weight/state resetting
Generating an altered infusion rate, verifying whether the altered infusion rate meets requirements to notify the user, displaying the altered infusion rate if the requirements are met, asking the user to either accept the altered infusion rate or change it to a different value, replacing the value of the last user-approved infusion rate in the database with the altered infusion rate accepted by the user or the different value if changed by the user, and resetting at least one element of the set of weights of the at least one lower-level controller to a new value based at least in part on the different value so that the altered infusion rate computed by the at least one lower-level controller matches the altered infusion rate changed by the user.
Higher-level logic verification of infusion-rate requirements and performance-criterion violation
Verifying by the higher-level logic controller whether the altered or new infusion rate meets requirements to notify the user, verifying whether at least one performance criterion is violated, determining timing of engaging with the at least one lower-level controller based at least in part on whether the at least one performance criterion is violated, and determining whether to reset internal states based at least in part on end-user responses.
Across the independent claims, the core coverage centers on hierarchical adaptive control for infusion therapy using a lower-level dynamic observer and a function approximator with basis functions and weights, coupled to higher-level logic that verifies infusion-rate requirements, manages notification and engagement timing, processes end-user responses, and resets lower-level internal states or weights so computed infusion rates match end-user-approved values.
Stated Advantages
Provides clinical decision support for regulating hemodynamic measurements by fluid resuscitation and/or cardiovascular drug administration.
Enables user verification by displaying suggested infusion rates and asking the user to accept or change the infusion rate.
Resets internal states such that computed infusion rates match processed end-user responses to suggested infusion rates.
Notifies the end-user when at least one performance criterion is violated.
Verifies infusion rates against infusion rate requirements for display as suggested infusion rates.
Documented Applications
No documented applications found
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