Method and apparatus for physiologic system identification
First Claim
1. A method for analyzing a biological or physiological system comprising the steps of:
- A. Applying at least one exogenous broad-band perturbation to said physiological or biological system;
B. Measuring m signals from the biological or physiological system;
C. Transforming the m signals to generate a new set of n signals where n may be greater than, equal to or less than m;
D. Representing the relationships between the new signals by causal transfer functions and additive noise sources; and
E. Using a parametric system identification technique to characterize quantitatively at least two causal transfer functions and the noise sources.
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Abstract
A method and apparatus for estimating transfer functions among multiple physiologic or biologic signals in the presence of feedback. The invention comprises the injection of broad band purturbation into one or more of the subsystems under study, and measuring signals from the subsystems. These signals are transformed to generate a new set of n signals. Casual transfer functions between the signals and additive noise sources are used to represent the relationships between the n signals. Parametric system identification techniques are then used to characterize quantitatively at least two casual transfer functions and noise sources. This method and apparatus provides a powerful tool with which to characterize the interactions of subsystems in the presence of feedback.
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Citations
42 Claims
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1. A method for analyzing a biological or physiological system comprising the steps of:
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A. Applying at least one exogenous broad-band perturbation to said physiological or biological system; B. Measuring m signals from the biological or physiological system; C. Transforming the m signals to generate a new set of n signals where n may be greater than, equal to or less than m; D. Representing the relationships between the new signals by causal transfer functions and additive noise sources; and E. Using a parametric system identification technique to characterize quantitatively at least two causal transfer functions and the noise sources. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37)
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38. A system for analyzing a biological or physiological system comprising:
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A. An apparatus adapted to introduce at least one exogenous broad-band pertubation to said physiological or biological system; B. An apparatus adapted to measure m signals from said physiological or biological system; and C. A computing apparatus programmed to i. Transform said m signals to generate a new set of n signals; ii. Represent the relationships between the new n signals by causal transfer functions and additive noise sources; and iii. Characterize quantitatively at least two causal transfer functions and the noise sources. - View Dependent Claims (39, 40)
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41. A method for analyzing transfer functions and noise sources for heart rate, arterial blood pressure and respiration in an organism, comprising the steps of:
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A. Applying broad-band perturbation by random interval breathing and/or random interval neck suction; B. Measuring the electrocardiogram, arterial blood pressure and respiration signals; C. Deriving a heart rate signal by nonlinear transformation of the electrocardiogram or arterial blood pressure signal; D. Representing the relationship between the heart rate, arterial blood pressure and respiration signals by causal transfer functions and additive noise sources; and E. Using parametric system identification to characterize quantitatively at least two causal transfer functions and the noise sources.
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42. A method for analyzing transfer functions and noise sources for heart rate, arterial blood pressure, vascular resistance and respiration in an organism, comprising the steps of:
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A. Applying broad-band perturbation by random interval breathing and/or random interval neck suction; B. Measuring the electrocardiogram, arterial blood pressure and respiration signals; C. Deriving a heart rate signal by nonlinear transformation of the electrocardiogram or arterial blood pressure signal, and deriving a vascular resistance signal by nonlinear transformation of the arterial blood pressure signal; D. Representing the relationship between the heart rate, arterial blood pressure, vascular resistance, and respiration signals by causal transfer functions and noise sources; and E. Using parametric system identification to characterize quantitatively at least two causal transfer functions and the noise sources.
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Specification