Systems and methods for inline fluid characterization

Patent metadata

Field	Value
Publication number	US-12350415-B2
Application number	US-201917277991-A
Country	US
Kind code	B2
Filing date	Sep 27, 2019
Priority date	Sep 27, 2018
Publication date	Jul 8, 2025
Grant date	Jul 8, 2025

Abstract

A system performs a method for characterizing passage of a patient fluid through a conduit. The method includes quantifying flow of fluidic content through a conduit, where the fluidic content includes a patient fluid, estimating a concentration of a fluid component of the patient fluid in the fluidic content, and characterizing passage of the patient fluid loss through the conduit based on the quantified flow and the concentration of the fluid component. At least one of the quantified flow or the concentration of the fluid component is based on sensor data from a sensor arrangement coupled to the conduit. Other apparatus and methods are also described.

First claim

What is claimed is:

1. A method comprising:
accessing sensor data from a sensor arrangement included in a housing configured to position the sensor arrangement proximate to and covering at least a portion of a conduit through which fluidic content is flowing, the fluidic content including a patient fluid, the flow of the fluidic content through the conduit includes a first region of continuous flow and a second region of non-continuous flow, and the sensor data including a first output from an ultrasound sensor based on the first region of continuous flow and a second output from an optical sensor based on the second region of non-continuous flow;
estimating a volumetric flow rate of the fluidic content flowing through the conduit;
estimating a concentration of a fluid component of the patient fluid in the fluidic content flowing through the conduit; and
by one or more processors, characterizing passage of the patient fluid through the conduit based on the estimated volumetric flow rate of the fluidic content and on the estimated concentration of the fluid component in the fluidic content, at least one of the estimating of the volumetric flow rate or the estimating of the concentration being based on the sensor data from the sensor arrangement positioned proximate to the conduit by the housing,
wherein estimating of the volumetric flow rate of the fluidic content is based on the first output from the ultrasound sensor and the second output from the optical sensor and includes emitting outgoing ultrasonic waves into the conduit and determining at least one of: a frequency shift of incoming ultrasonic waves reflected from the fluidic content, and a time of flight of ultrasonic waves transmitted through the fluidic content.

2. The method of claim 1 , wherein the patient fluid is blood, and the fluid component is hemoglobin.

3. The method of claim 1 , wherein the characterizing of the passage of the patient fluid includes quantifying a volume of blood flowing through the conduit.

4. The method of claim 1 , wherein the estimating of the concentration of the fluid component in the fluidic content flowing through the conduit includes measuring a composition of the fluidic content.

5. The method of claim 4 , wherein the measuring of the composition of the fluidic content includes performing a spectroscopic analysis of the fluidic content flowing through the conduit.

6. The method of claim 1 , wherein the estimating of the volumetric flow rate of the fluidic content further includes comparing a first optical signal to a second optical signal, the first optical signal indicating light detected at a first location along the conduit, the second optical signal indicating light detected at a second location along the conduit.

7. The method of claim 1 , wherein estimating the volumetric flow rate of the fluidic content further includes estimating a mass flow rate of the fluidic content.

8. The method of claim 1 , wherein the estimating of the concentration of the fluid component in the fluidic content is based on a multispectral image of the conduit in which the fluidic content is flowing.

9. The method of claim 1 , further comprising reducing the flow of the fluidic content through the conduit; and wherein estimating the volumetric flow rate of the fluidic content includes estimating a reduced flow of the fluidic content.

10. The method of claim 1 , wherein:
estimating the volumetric flow rate of the fluidic content includes inputting the sensor data into a learning machine trained to quantify candidate flows based on a training set of reference flows represented by reference sensor data, the trained learning machine outputting the estimated volumetric flow rate of the fluidic content based on the inputted sensor data.

11. A method comprising:
accessing sensor data from a sensor arrangement included in a housing configured to position the sensor arrangement proximate to and covering at least a portion of a conduit through which fluidic content is flowing, the fluidic content including a patient fluid;
estimating a volumetric flow rate of the fluidic content flowing through the conduit;
estimating a concentration of a fluid component of the patient fluid in the fluidic content flowing through the conduit; and
by one or more processors, characterizing passage of the patient fluid through the conduit based on the estimated volumetric flow rate of the fluidic content and on the estimated concentration of the fluid component in the fluidic content, at least one of the estimating of the volumetric flow rate or the estimating of the concentration being based on the sensor data from the sensor arrangement positioned proximate to the conduit by the housing,
wherein estimating the volumetric flow rate of the fluidic content includes comparing a first optical signal to a second optical signal, the first optical signal indicating light detected at a first location along the conduit, and the second optical signal indicating light detected at a second location along the conduit.

12. The method of claim 11 , wherein the first and second optical signals are digital signals generated by first and second optical sensors included in the sensor arrangement.

13. The method of claim 11 , wherein the first and second locations are axially spaced along the conduit.

14. The method of claim 11 , wherein the first and second locations are circumferentially spaced around the conduit.

15. The method of claim 11 , wherein the first and second locations are helically arranged about the conduit.

16. The method of claim 11 , further comprising estimating a mass flow rate of the fluidic content with a thermal mass flow sensor.

17. The method of claim 11 , further comprising performing multispectral imaging of the fluidic content with the first and second optical sensors.

18. The method of claim 11 , further comprising performing color imaging of the fluidic content with the first and second optical sensors.

19. The method of claim 11 , wherein estimating of the volumetric flow rate of the fluidic content further includes emitting outgoing ultrasonic waves into the conduit and determining at least one of: a frequency shift of incoming ultrasonic waves reflected from the fluidic content, and a time of flight of ultrasonic waves transmitted through the fluidic content.

20. The method of claim 19 , wherein:
the flow of the fluidic content through the conduit includes a first region of continuous flow and a second region of non-continuous flow;
the sensor data further includes a first output from an ultrasound sensor based on the first region of continuous flow and a second output from an optical sensor based on the second region of non-continuous flow; and
estimating the volumetric flow rate of the fluidic content includes estimating a flow rate based on the first output from the ultrasound sensor and based on the second output from the optical sensor.

21. The method of claim 11 , further comprising:
estimating the volumetric flow rate of the fluidic content includes inputting the sensor data into a learning machine trained to quantify candidate flows based on a training set of reference flows represented by reference sensor data, the trained learning machine outputting the estimated volumetric flow rate of the fluidic content based on the inputted sensor data.

Assignees

• Stryker Corp

Inventors

• Kumar Mayank
• Lin Keng-Tsai
• Satish Siddarth
• Hosford Andrew T

Classifications

• A61B5/026

  Measuring blood flow {(A61B3/1233, A61B3/1241 take precedence)} · CPC title

• A61B8/06

  Measuring blood flow · CPC title

• G01N33/49

  Blood {(chemical methods for determining blood cell populations G01N33/5094; chemical analysis of blood groups or blood types G01N33/80)} · CPC title

• G01F1/68

  by using thermal effects · CPC title

• G01F1/663

  by measuring Doppler frequency shift · CPC title