System, method, and apparatus for monitoring, regulating, or controlling fluid flow

• US 10,088,346 B2
• Filed: 07/29/2015
• Issued: 10/02/2018
• Est. Priority Date: 12/21/2011
• Status: Active Grant

• Current Assignee: Deka Products Limited Partnership
• Original Assignee: Deka Products Limited Partnership
• Inventors: Kane, Derek G., Peret, Bob D., Murphy, Colin H., Kerwin, John M., Kamen, Dean
• Primary Examiner(s): Sereboff, Neal
• Application Number:
  US14/812,149
• Publication Number:
  US 20150332009A1
• Time in Patent Office: 1,161 Days
• Field of Search: None
• CPC Class Codes: A61B 17/00234 for minimally invasive surgery A61B17/0218, A61B17/0469, A61B17/12013, A61B17/1285, A61B17/29, A61B17/320016 take precedence
• CPC Class Codes: A61M 25/00 Catheters; Hollow probes dilators A61M29/00; peritoneal catheters A61M1/285; tracheal tubes A61M16/04; for drainage A61M27/00; for uterus, vagina or rectum A61M31/00 ; for measuring or testing A61B; materials for catheters A61L29/00
• CPC Class Codes: A61M 5/16877 Adjusting flow; Devices for setting a flow rate
• CPC Class Codes: A61M 5/16886 for measuring fluid flow rate, i.e. flowmeters
• CPC Class Codes: G01F 1/00 Measuring the volume flow or mass flow of fluid or fluent solid material wherein the fluid passes through a meter in a continuous flow measuring a proportion of the volume flow G01F5/00
• CPC Class Codes: G06T 2207/20104 Interactive definition of region of interest [ROI]
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 30/00 ICT specially adapted for the handling or processing of medical images computed tomography A61B6/03
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

A method for adjusting a flow rate of a fluid line is disclosed that includes one or more acts of: capturing an image of a drip chamber using an image sensor; identifying a plurality of pixels of interest within the image;

determining a subset of pixels within the plurality of pixels of interest, wherein each pixel of the plurality of pixels is determined to be within the subset of pixels when there is a path to a baseline corresponding to the drip chamber; performing a rotation operation on the subset of pixels; estimating a volume of the drop within the drip chamber by counting a number of pixels within the rotated subset of pixels; and/or adjusting a flow rate of fluid flowing through a fluid line.

Claims

1. A method for adjusting a flow rate of a fluid line, the method comprising:

capturing an image of a drip chamber using an image sensor;

identifying a plurality of pixels of interest within the image;

determining a subset of pixels within the plurality of pixels of interest, wherein each pixel of the plurality of pixels of interest is determined to be within the subset of pixels when there is a path to a baseline corresponding to the drip chamber;

performing a rotation operation on the subset of pixels;

estimating a volume of a drop within the drip chamber by counting a number of pixels within the rotated subset of pixels; and

adjusting a flow rate of fluid flowing through the fluid line.

2. The method according to claim 1, wherein the baseline is a predetermined set of pixels within the image sensor.

3. The method according to claim 1, wherein the plurality of pixels of interest are identified by comparing the image to a background image.

4. The method according to claim 3, further comprising initializing the background image.

5. The method according to claim 3, further comprising updating the background image using the image captured by the image sensor.

6. The method according to claim 5, wherein the background image is updated in accordance with:

P_{background,i,j}=P_{background,i,j}(1−

α

_background)+α

_backgroundP_input,i,j.

7. The method as in claim 1 or 3, further comprising updating an array of variances using the image captured by the image sensor.

8. The method according to claim 7, wherein the array of variances is updated in accordance with:

σ

_temp²=(P_{background,i,j}−

P_input,i,j)²

σ

_{background,i,j}²=σ

_{background,i,j}²(1−

β

_background)+β

_backgroundσ

_temp².

9. The method according to claim 3, further comprising updating an array of integers in accordance with the image captured by the image sensor.

10. The method according to claim 9, wherein each integer of the array of integers corresponds to a number of updates of a pixel of the background image.

11. The method according to claim 10, wherein the comparison of the image to the background image only compares pixels within the image to pixels within the background image if a respective integer of the array of integers indicates a respective pixel within the background image has been updated at least a predetermined number of times.

12. The method according to claim 1, further comprising

identifying the drop in the image and a predetermined band near an edge of the drop;

and

initializing a background image by setting each pixel of the background image to the image unless it is within the identified drop or the predetermined band near the edge of the drop.

13. The method according to claim 12, further comprising setting a pixel of the background image to a predetermined value if a corresponding pixel of the image is within the identified drop or the predetermined band near the edge of the drop.

14. The method according to claim 13, wherein the corresponding pixel of the image has a location corresponding to a location of the pixel of the background image.

15. The method according to claim 1, further comprising determining the baseline corresponding to an opening of the drip chamber.

16. The method according to claim 1, wherein the act of determining the subset of pixels within the plurality of pixels of interest that corresponds to the drop includes determining each of the plurality of pixels of interest is within the subset of pixels if the respective pixel of the plurality of pixels of interest has a contiguous path back to the baseline of the drop forming at an opening of the drip chamber.

17. The method according to claim 1, further comprising:

capturing a first image using the image sensor;

identifying the drop within the first image and a predetermined band near an edge of the drop;

initializing a background image by setting each pixel to the first image unless it is within the identified drop or the predetermined band near the edge of the drop;

setting pixels within the region of the drop or within the predetermined band to a predetermined value;

initializing an array of integers; and

initializing an array of variances.

18. The method according to claim 17, further comprising updating the background image, the array of integers, and the array of variances using the image.

19. The method according to claim 1, the method further comprising the act of remotely controlling the flow rate by a monitoring client.

20. The method according to claim 19, wherein the monitoring client is a tablet.

21. A flow meter, comprising:

a coupler adapted to couple to a drip chamber;

a support member operatively coupled to the coupler;

an image sensor having a field of view and operatively coupled to the support member, wherein the image sensor is positioned to view the drip chamber within the field of view; and

at least one processor operatively coupled to the image sensor to receive image data therefrom, wherein the at least one processor is configured to;

capture an image of the drip chamber using the image sensor;

identify a plurality of pixels of interest within the image;

determine a subset of pixels within the plurality of pixels of interest, wherein each pixel of the plurality of pixels of interest is determined to be within the subset of pixels when there is a path to a baseline corresponding to the drip chamber;

perform a rotation operation on the subset of pixels; and

estimate a volume of a drop within the drip chamber by counting a number of pixels within the rotated subset of pixels.

22. The flow meter according to claim 21, further comprising a non-transitory processor-readable memory having an operative set of processor executable instructions stored thereon, the non-transitory processor-readable memory is in operative communication with the at least one processor such that the operative set of processor executable instructions controls the operation of the at least one processor.

23. The flow meter according to claim 21, further comprising a non-transitory processor-readable memory readable by the at least one processor, wherein the non-transitory processor-readable memory includes an operative set of processor executable instructions stored thereon configured to cause the at least one processor, when executed, to:

capture the image of the drip chamber using the image sensor;

identify the plurality of pixels of interest within the image;

determine the subset of pixels within the plurality of pixels of interest, wherein each pixel of the plurality of pixels of interest is determined to be within the subset of pixels when there is a path to the baseline corresponding to the drip chamber;

perform a rotation operation on the subset of pixels; and

estimate the volume of the drop within the drip chamber by counting a number of pixels within the rotated subset of pixels.

24. The flow meter according to claim 21, wherein the baseline is a predetermined set of pixels within the image sensor.

25. The flow meter according to claim 21, wherein the plurality of pixels of interest are identified by comparing the image to a background image.

26. The flow meter according to claim 21, wherein the at least one processor is further configured to initialize a background image.

27. The flow meter according to claim 21, wherein the at least one processor is further configured to update a background image using the image captured by the image sensor.

28. The flow meter according to claim 27, wherein the background image is updated in accordance with:

P_{background,i,j}=P_{background,i,j}(1−

α

_background)+α

_backgroundP_input,i,j.

29. The flow meter as in claim 21 or 25, wherein the at least one processor is further configured to update an array of variances using the image captured by the image sensor.

30. The flow meter according to claim 29, wherein the array of variances is updated in accordance with:

σ

_temp²=(P_{background,i,j}−

P_input,i,j)²

σ

_{background,i,j}²=σ

_{background,i,j}²(1−

β

_background)+β

_backgroundσ

_temp².

31. The flow meter according to claim 25, wherein the at least one processor is further configured to update an array of integers in according with the image captured by the image sensor.

32. The flow meter according to claim 31, wherein each integer of the array of integers corresponds to a number of updates of a pixel of the background image.

33. The flow meter according to claim 32, wherein the comparison of the image to the background image only compares pixels within the image to pixels within the background image if a respective integer of the array of integers indicates a respective pixel within the background image has been updated at least a predetermined number of times.

34. The flow meter according to claim 31, wherein the at least one processor is further configured to:

identify the drop in the image and a predetermined band near an edge of the drop; and

initialize the background image by setting each pixel of the background image to the image unless it is within the identified drop or the predetermined band near the edge of the drop.

35. The flow meter according to claim 34, wherein the at least one processor is further configured to set a pixel of the background image to a predetermined value if a corresponding pixel of the image is within the identified drop or the predetermined band near the edge of the drop.

36. The flow meter according to claim 35, wherein the corresponding pixel of the image has a location corresponding to a location of the pixel of the background image.

37. The flow meter according to claim 21, wherein the at least one processor is further configured to determine the baseline corresponding to an opening of the drip chamber.

38. The flow meter according to claim 21, wherein the at least one processor is further configured to determine whether each of the plurality of pixels of interest is within the subset of pixels if the respective pixel of the plurality of pixels of interest has a contiguous path back to the baseline of the drop forming at an opening of the drip chamber to determine if the subset of pixels are within the plurality of pixels of interest that corresponds to the drop.

39. The flow meter according to claim 21, wherein the at least one processor is further configured to:

capture a first image using the image sensor;

identify the drop within the first image and a predetermined band near an edge of the drop;

initialize a background image by setting each pixel to the first image unless it is within the identified drop or the predetermined band near the edge of the drop;

set pixels within the region of the drop or within the predetermined band to a predetermined value;

initialize an array of integers; and

initialize an array of variances.

40. The flow meter according to claim 39, wherein the at least one processor is further configured to update the background image, the array of integers, and the array of variances using at least one of the image and the first image.

41. The flow meter according to claim 21, wherein the flow meter is configured to be remotely controlled by a monitoring client.

42. The flow meter according to claim 41, wherein the monitoring client is a tablet.