SENSOR FUSION AND PROBABILISTIC PARAMETER ESTIMATION METHOD AND APPARATUS
First Claim
1. An apparatus configured for processing sensor data representative of a body, comprising:
- an analyzer, comprising;
a physical model representative of function of a circulatory system of the body, said physical model coded into a digital signal processor embedded in said analyzer, said digital signal processor configured to;
generate a prior probability distribution function using said physical model; and
repetitively fuse input data originating from at least two types of medical instruments, configured to measure separate sections of the circulatory system, with the prior probability distribution function to generate a posterior probability distribution function,said processor configured to process the posterior probability distribution function using the physical model to generate an output of at least one of;
a heart stroke volume related to power spent during systolic contraction of a heart of the body;
a cardiac output flow rate;
an aortic blood pressure; and
a radial blood pressure.
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Abstract
A probabilistic digital signal processor using data from multiple instruments is described. Initial probability distribution functions are input to a dynamic state-space model, which operates on state and/or model probability distribution functions to generate a prior probability distribution function, which is input to a probabilistic updater. The probabilistic updater integrates sensor data from multiple instruments with the prior to generate a posterior probability distribution function passed (1) to a probabilistic sampler, which estimates one or more parameters using the posterior, which is output or re-sampled in an iterative algorithm or (2) iteratively to the dynamic state-space model. For example, the probabilistic processor operates on fused data using a physical model, where the data originates from a mechanical system or a medical meter or instrument, such as an electrocardiogram or pulse oximeter to generate new parameter information and/or enhanced parameter information.
51 Citations
20 Claims
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1. An apparatus configured for processing sensor data representative of a body, comprising:
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an analyzer, comprising; a physical model representative of function of a circulatory system of the body, said physical model coded into a digital signal processor embedded in said analyzer, said digital signal processor configured to; generate a prior probability distribution function using said physical model; and repetitively fuse input data originating from at least two types of medical instruments, configured to measure separate sections of the circulatory system, with the prior probability distribution function to generate a posterior probability distribution function, said processor configured to process the posterior probability distribution function using the physical model to generate an output of at least one of; a heart stroke volume related to power spent during systolic contraction of a heart of the body; a cardiac output flow rate; an aortic blood pressure; and a radial blood pressure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for processing sensor data representative of a body, comprising the steps of:
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using a physical model, representative of function of a circulatory system of a body, coded into a digital signal processor of an analyzer; generating a prior probability distribution function using said physical model; repetitively fusing input data originating from at least a first medical instrument and a second medical instrument, measuring separate sections of the circulatory system, with the prior probability distribution function to generate a posterior probability distribution function; and processing the posterior probability distribution function with said processor to generate an output of at least one of; a heart stroke volume related to power spent during systolic contraction of a heart of the body; a cardiac output flow rate; an aortic blood pressure; and a radial blood pressure. - View Dependent Claims (11, 12, 13, 14, 16, 17, 18, 19, 20)
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15. The method of claim 15, further comprising the step of:
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using both hemodynamic data and an electrodynamic signal to generate an estimate of an autonomic nervous system tone, wherein the input data from said first instrument comprises a measure of the hemodynamic data outside of a heart of the body, and wherein the input data from said second instrument comprises a measure of electrodynamic data representative of an electrodynamic signal originating in the heart of the body.
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Specification