IP Library Granted Patent US 11,426,129
Granted Patent B2
US 11,426,129 · App. 14/654,133 · Granted Aug 30, 2022

Coherent hemodynamics spectroscopy and model based characterization of physiological systems

Inventor: Sergio Fantini (Winchester, MA)
Assignee: Trustees of Tufts College
A61B5/7278A61B5/0075A61B5/02028A61B5/0263A61B5/14542A61B5/14551A61B5/4064A61B5/7257
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Quick Facts
Patent No.
US 11,426,129
App. No.
14/654,133
Granted
Aug 30, 2022
Kind
B2
Abstract

A method for inferring characteristics of a physiological system includes measuring one or more physiological signals in the physiological system and inferring characteristics of the physiological system from the one or more measured physiological signals using a multiple vascular compartment hemodynamic model, the multiple vascular compartment hemodynamic model defining a relationship between the one or more measured physiological signals and the characteristics of the physiological system. When the one or more measured physiological signals include coherent oscillations at a plurality of frequencies, the method is termed coherent hemodynamics spectroscopy. The multiple vascular compartment hemodynamic model is based on an average time spent by blood in one or more of said vascular compartments and a rate constant of oxygen diffusion.

Claims (60)

1. A method comprising:

connecting a test subject to a modeling system that implements a hemodynamic model, the modeling system being a cerebral hemodynamic and oxygen supply modeling system,

using the modeling system, inferring parameters of a physiological system of the test subject, and

making information representative of said inferred parameters available to medical professionals for use as a basis for diagnosing or monitoring the test subject,

wherein inferring the parameters comprises

measuring signals from the test subject's physiological system, said signals being physiological signals, wherein among the signals are signals that are coherent oscillations from the test subject's physiological system, said coherent oscillations being at a plurality of frequencies,

causing the modeling system to use the hemodynamic model to infer parameters of the test subject's physiological system from at least one of the measured signals,

wherein the hemodynamic model defines a relationship between the measured signals and the parameters,

wherein the hemodynamic model is a multiple vascular-compartment hemodynamic model,

wherein the multiple vascular compartments comprise a capillary compartment,

wherein the hemodynamic model is based on an average time spent by blood in one or more vascular compartments and a rate constant of oxygen diffusion, and

wherein the parameters are selected from the group consisting of a maximum amplitude ratio of flow-to-volume oscillations, hemoglobin concentration in blood, arterial saturation, rate constant for oxygen diffusion, capillary blood transit time, venous blood transit time, arterial blood volume, capillary blood volume, cutoff frequency for autoregulation, and blood volume phasor,

wherein inferring the parameters further comprises inferring the parameters based on one or more representations of the coherent oscillations,

wherein the representations are selected from the group consisting of spectral representations of the coherent oscillations and temporal representations of the coherent oscillations, and

wherein inferring the parameters based on one or more representations of the coherent oscillations comprises fitting representations of the coherent oscillations to the hemodynamic model.

2. The method of claim 1 , wherein the coherent oscillations at the plurality of frequencies in the physiological system occur spontaneously.

3. The method of claim 1 , further comprising inducing the coherent oscillations by subjecting said test subject to a plurality of periodic protocols, each periodic protocol of the plurality of periodic protocols having a period corresponding to one of the frequencies of the plurality of frequencies.

4. The method of claim 3 , wherein the plurality of periodic protocols includes one or more of: paced breathing, repeated active exercise maneuvers, repeated passive exercise maneuvers, periodic tilting bed procedures, cyclic inflation and deflation of a pneumatic device, cyclic brain activation, and modulation of a fraction of inspired oxygen (FiO2) or carbon dioxide (FiCO2).

5. The method of claim 1 , further comprising inducing the coherent oscillations by subjecting the test subject to a perturbation.

6. The method of claim 5 , wherein subjecting the test subject to a perturbation comprises causing a sudden change to be applied to the test subject.

7. The method of claim 1 , wherein the signals include time- varying physiological signals and wherein inferring parameters includes inferring time-varying parameters.

8. The method of claim 1 , wherein measuring signals comprises carrying out functional near-infrared spectroscopy to measure said signals.

9. The method of claim 1 , wherein measuring signals from the test subject's physiological system comprises using functional magnetic resonance imaging (fMRI) techniques to measure said signals.

10. The method of claim 1 , wherein the physiological system is a brain autoregulation system.

11. The method of claim 1 , wherein the physiological system is a cerebrovascular reactivity system.

12. The method of claim 1 , wherein the physiological system is a cerebral blood volume system.

13. The method of claim 1 , wherein the physiological system is a cerebral blood flow system.

14. The method of claim 1 , wherein the physiological system is a cerebral metabolic rate of oxygen system.

15. The method of claim 1 , wherein the one or more representations of the coherent oscillations include temporal representations of the coherent oscillations.

16. The method of claim 1 , wherein the one or more representations of the coherent oscillations include spectral representations of the coherent oscillations.

17. The method of claim 1 , wherein making information representative of said inferred parameters available to medical professionals for use as a basis for diagnosing or monitoring the test subject comprises presenting at least some of the parameters to a clinician.

18. The method of claim 1 , wherein measuring signals comprises carrying out near-infrared spectroscopy to measure said signals.

19. A method comprising:

connecting a test subject to a modeling system that implements a hemodynamic model,

using the modeling system, inferring parameters of the test subject's physiological system, and

making information representative of said inferred parameters available to medical professionals for use as a basis for diagnosing or monitoring the test subject,

wherein the modeling system is a cerebral hemodynamic and oxygen supply modeling system,

wherein inferring parameters of the physiological system comprises

obtaining measurements of physiological signals from the test subject's physiological system, wherein the measurements include measurements of coherent oscillations from the physiological system, said coherent oscillations being at a plurality of frequencies,

determining one or more representations of the coherent oscillations, and

inferring the parameters based on previously determined correlations between the parameters and individual features of the one or more representations of the coherent oscillations,

wherein inferring the parameters comprises inferring the parameters based on the one or more representations of the coherent oscillations,

wherein the representations are selected from the group consisting of spectral representations of the coherent oscillations and temporal representations of the coherent oscillations,

wherein inferring the parameters based on the one or more representations of the coherent oscillations further comprises fitting representations of the coherent oscillations to the hemodynamic model, and

wherein the parameters are selected from the group consisting of a maximum amplitude ratio of flow-to-volume oscillations, hemoglobin concentration in blood, arterial saturation, rate constant for oxygen diffusion, capillary blood transit time, venous blood transit time, arterial blood volume, capillary blood volume, cutoff frequency for autoregulation, and blood volume phasor.

20. The method of claim 19 , wherein the coherent oscillations at the plurality of frequencies in the physiological system occur spontaneously.

21. The method of claim 19 , further comprising inducing the coherent oscillations by subjecting the test subject to a plurality of periodic protocols, each periodic protocol of the plurality of periodic protocols having a period corresponding to one of the frequencies of the plurality of frequencies.

22. The method of claim 21 wherein the plurality of periodic protocols includes one or more of: paced breathing, repeated active exercise maneuvers, repeated passive exercise maneuvers, periodic tilting bed procedures, cyclic inflation and deflation of a pneumatic device, cyclic brain activation, and modulation of a fraction of inspired oxygen (FiO2) or carbon dioxide (FiCO2).

23. The method of claim 19 , further comprising inducing the coherent oscillations by subjecting the test subject to a perturbation.

24. The method of claim 23 , wherein subjecting the test subject to a perturbation comprises causing a sudden change to be applied to said test subject.

25. The method of claim 19 , wherein the one or more representations of the coherent oscillations include temporal representations of the coherent oscillations.

26. The method of claim 19 , wherein the one or more representations of the coherent oscillations include spectral representations of the coherent oscillations.

27. An apparatus comprising a modeling system that implements a hemodynamic model, said modeling system being a cerebral hemodynamic and oxygen supply modeling system that implements a multiple vascular compartment hemodynamic model, said modeling system comprising:

a measurement module for measuring signals from a physiological system, said signals being physiological signals, wherein among the signals are signals that are coherent oscillations at a plurality of frequencies and

an inference module for inferring parameters of said physiological system from said measured signals, wherein said hemodynamic model defines a relationship between said signals and said parameters,

wherein said hemodynamic model is based on an average time spent by blood in one or more vascular compartments and a rate constant of oxygen diffusion,

wherein said vascular compartments include a capillary compartment, wherein said parameters are selected from the group consisting of a maximum amplitude ratio of flow-to-volume oscillations, hemoglobin concentration in blood, arterial saturation, rate constant for oxygen diffusion, capillary blood transit time, venous blood transit time, arterial blood volume, capillary blood volume, cutoff frequency for autoregulation, and a blood volume phasor,

wherein the inference module is configured to infer the parameters based on one or more representations of the coherent oscillations,

wherein the representations are selected from the group consisting of spectral representations of the coherent oscillations and temporal representations of the coherent oscillations, and

wherein inferring the parameters based on one or more representations of the coherent oscillations comprises fitting representations of the coherent oscillations to the hemodynamic model.

Assignments (3)
CHANGE OF NAME Recorded Jun 28, 2022
From: TUFTS UNIVERSITY
To: TRUSTEES OF TUFTS COLLEGE
Reel/Frame 060446/0168 →
CONFIRMATORY LICENSE Recorded Jan 4, 2017
From: TUFTS UNIVERSITY BOSTON
To: NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT
Reel/Frame 041239/0637 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 9, 2015
From: FANTINI, SERGIO
To: TUFTS UNIVERSITY
Reel/Frame 036043/0703 →
Continuity (2)
Provisional Application 61740534 · Dec 21, 2012
Related Publication 20150366514A1 · Dec 24, 2015