APPARATUS AND METHODS FOR COMPUTING CARDIAC OUTPUT OF A LIVING SUBJECT VIA APPLANATION TONOMETRY
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Abstract
Apparatus and methods for calculating cardiac output (CO) of a living subject using applanation tonometry measurements. In one embodiment, the apparatus and methods build a nonlinear mathematical model to correlate physiologic source data vectors to target CO values. The source data vectors include one or more measurable or derivable parameters such as: systolic and diastolic pressure, pulse pressure, beat-to-beat interval, mean arterial pressure, maximal slope of the pressure rise during systole, the area under systolic part of the pulse pressure wave, gender (male or female), age, height and weight. The target CO values are acquired using various methods, across a plurality of individuals. Multidimensional nonlinear optimization is then used to find a mathematical model which transforms the source data to the target CO data. The model is then applied to an individual by acquiring physiologic data for the individual and applying the model to the collected data.
1 Citation
23 Claims
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1-3. -3. (canceled)
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4. A method for computing cardiac output from data acquired from a living test subject, said method comprising:
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obtaining one or more test subject hemodynamic parameter values from the living test subject using a non-invasive biometric sensor; processing, via data processing apparatus in signal communication with said biometric sensor, said one or more test subject hemodynamic parameter values using a mathematical model, said mathematical model comprising at least a plurality of reference subject input vectors each linked to a corresponding one of a plurality of cardiac output target values via a non-linear optimization algorithm; and determining a test subject cardiac output value for said living test subject based at least in part on a result of said processing. - View Dependent Claims (5, 6, 7, 8, 9)
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10. A cardiac output determination device, said cardiac output determination device comprising:
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at least one interface configured for signal communication with at least an external component, said external component configured to measure test subject hemodynamic parameter data for a living test subject via a non-invasive measurement apparatus; data processor apparatus; and data storage apparatus in data communication with said data processor apparatus and having at least one computer program stored thereon, said at least one computer program comprising a plurality of instructions which are configured to, when executed by said data processor apparatus, cause said cardiac output determination device to; pre-process at least said test subject hemodynamic parameter data; calculate a cardiac output parameter for said living test subject via input of at least said pre-processed test subject hemodynamic parameter data into a non-linear optimization mathematical model stored on said data storage apparatus; and enable display of said cardiac output parameter for said living test subject on a display device associated with said cardiac output device. - View Dependent Claims (11, 12, 13, 14, 15)
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16. A computer-readable apparatus comprising a data storage medium configured to store at least one computer program thereon, said at least one computer program comprising a plurality of instructions which are configured to, when executed by data processing apparatus of a cardiac output calculation device, cause the cardiac output calculation device to:
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receive one or more hemodynamic parameter values of a living test subject measured via operation of a non-invasive biometric sensor in signal communication with said cardiac output calculation device; automatically input said measured one or more hemodynamic parameter values into a mathematical model stored on said storage medium; calculate, via said mathematical model, a test subject input vector for said living test subject from at least said measured one or more hemodynamic parameter values of said living test subject; correlate, via said pre-determined mathematical model, said test subject input vector to at least one of a plurality of reference subject input vectors, said mathematical model comprising at least said plurality of reference subject input vectors each linked to a corresponding one of a plurality of cardiac output target values via a non-linear optimization algorithm; and based at least in part on said correlation, determine, via said pre-determined mathematical model, a cardiac output value for said living test subject. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23)
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Specification