Model-based sensor technology for detection of cardiovascular status
AssigneeThe Curators of the University of Missouri
InventorGiovanna GUIDOBONI
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Abstract
The invention disclosed here is sensor technology incorporating a closed-loop mathematical model of a cardiovascular system, for detection and/or monitoring of a cardiovascular status of a test subject. The closed-loop cardiovascular model equates common circuit components with real-world cardiovascular parameters, and is capable of tracking and/or predicting cardiovascular behavior.
Claims20
A system for sensing cardiovascular mechanisms for determination of a cardiovascular status, the system comprising:
- a sensor configured to (1) sense cardiovascular forces of a subject and (2) generate a sensor signal representative of the sensed cardiovascular forces;
- and
- a circuit configured to (1) extract cardiovascular function data from the sensor signal, (2) simulate cardiovascular function data based on a closed-loop cardiovascular model, (3) compare the extracted cardiovascular function data with the simulated cardiovascular function data, and (4) determine a cardiovascular status for the subject based on the comparison.
A method for sensing cardiovascular mechanisms for determination of a cardiovascular status, the method comprising:
- sensing cardiovascular forces of a subject;
- generating a sensor signal representative of the sensed cardiovascular forces;
- extracting cardiovascular function data from the sensor signal;
- simulating cardiovascular function data based on a closed-loop cardiovascular model;
- comparing the extracted cardiovascular function data with the simulated cardiovascular function data;
- and
- determining a cardiovascular status for the subject based on the comparison.
An apparatus for modeling cardiovascular function, the apparatus comprising:
- a processor configured to execute a closed loop cardiovascular model that simulates cardiovascular function as a network of circuit components with a plurality of tunable parameters.
Dependencies are inferred from the claim text.