CN-122003260-A - Infusion volume detection system and method

Abstract

A visually-enabled fluid flow rate detection system is disclosed. The system includes an image sensing device that images a pattern of an infusion container supplying fluid to an infusion pump and a marker associated with a surface of the container and identifies a visual difference of the pattern from a default state of the pattern to determine a volume of fluid infused from the infusion container and to calculate a volume of fluid and a fluid flow rate in the container. When the amount of fluid as determined by the vision system is different from the amount reported by the pump, the motor of the pump may be adjusted as needed to correct the desired volume or flow rate. An alarm or other indication may be provided or the infusion terminated when serious infusion inaccuracy is detected.

Inventors

• Su Man Harappana Harry
• Ronald Hidalgo
• Elsa javed
• Dilmid Carney
• Giandson Thank you very much

Assignees

• 康尔福盛303公司

Dates

Publication Date

20260508

Application Date

20240906

Claims (20)

1. 1. A fluid flow detection system comprising: an image sensing device configured to image an infusion container supplying fluid to an infusion pump; A pattern of marks associated with a surface of an infusion container and positioned such that the pattern overlaps with a characteristic of a fluid within the infusion container when the infusion container is imaged by the image sensing device, and One or more processors configured to: Causing the image sensing device to image the pattern of marks during infusion of the fluid by the infusion pump; determining a visual difference of the pattern from a default state of the pattern based on imaging the pattern; Determining a volume of fluid infused from the infusion container based on the visual differences in the pattern; Determining the infusion flow rate, and An indication of the volume of fluid infused from the infusion container is provided on a display device associated with the infusion pump.
2. 2. The fluid flow detection system of claim 1, wherein determining the visual difference in the pattern comprises: providing an image of the pattern to a machine learning model trained to identify a volume of fluid remaining in the infusion container based on comparing the pattern to a training data set of patterns and fluid characteristics, and In response to providing the image to the machine learning model, receiving a volume of fluid remaining in the infusion container from the machine learning model, Wherein the volume of fluid infused from the infusion container is based on a difference between the volume of fluid remaining in the infusion container received from the machine learning model and a previous volume of fluid determined to be in the infusion container.
3. 3. The fluid flow detection system of claim 1, wherein the one or more processors are further configured to: determining that the infusion pump has initiated infusion of the fluid; Periodically monitoring the pattern with the image sensing device during the infusion, and Receiving, from a controller associated with the infusion pump, an estimated volume of fluid infused by the infusion pump over a predetermined period of time; determining an actual volume of fluid infused by the infusion pump during the predetermined period of time based on the determined visual differences in the pattern; determining that the actual volume of fluid infused differs from the estimated volume by a threshold volume, and Providing an indication that the infusion pump is reporting that the volume of fluid being infused is incorrect.
4. 4. The fluid flow detection system of claim 3, wherein the one or more processors are further configured to: imaging a default state of the pattern at a first time during the infusion; Imaging the pattern during the infusion at a second time, wherein the second time is subsequent to the first time, and A flow rate of the infusion pump is determined based on a visual difference in the pattern between the first time and the second time.
5. 5. The fluid flow detection system of claim 3, wherein the one or more processors are further configured to, in response to determining that the actual fluid volume infused differs from the estimated volume by a first threshold volume: the motor speed of the infusion pump is adjusted to reduce the change between the flow rate calculated based on the estimated volume and the flow rate calculated based on the actual volume.
6. 6. The fluid flow detection system of claim 5, wherein the one or more processors are further configured to: when the actual volume of fluid infused differs from the estimated volume by a second threshold volume, a signal is sent to the infusion pump to terminate the infusion, Wherein the infusion is terminated in response to the signal.
7. 7. The fluid flow detection system of claim 1, wherein the one or more processors are further configured to: receiving an identifier of the infusion container; Determining one or more dimensions of the infusion container and a default fluid volume within the infusion container based on the identifier, wherein the one or more dimensions include a deformable diameter that depends on a current fluid volume within the container; determining the deformable diameter based on visual differences in the pattern, and A current fluid volume in the container is determined based on the determined deformable diameter, wherein the volume of fluid infused from the infusion container is based on a difference between the current volume and a previously determined volume.
8. 8. The fluid flow detection system of claim 1, wherein the pattern of markings comprises: A background pattern and a foreground pattern, wherein the foreground pattern is in front of the fluid within the infusion container and the background pattern is behind the fluid in the infusion container between the image sensing device and the infusion container when the infusion container is imaged by the image sensing device, wherein the infusion container is transparent and the image generated by the image sensing device comprises a foreground pattern that is visually modified by a combination of the background pattern, a characteristic of the fluid within the infusion container, and a current shape of the container, wherein a portion of the modified foreground pattern differs based on a presence, a volume, or an absence of the fluid within the infusion container at the portion.
9. 9. The fluid flow detection system of claim 8, wherein the background pattern is attached to a first side of the infusion container and the foreground pattern is attached to a second side of the infusion container opposite the first side.
10. 10. The fluid flow detection system of claim 8, wherein the pattern of markings comprises a background pattern generated by a display device associated with the infusion pump, wherein the one or more processors are further configured to: The background pattern is generated, wherein the display device is positioned behind the infusion container relative to the image sensing device such that the image sensing device images the fluid within the container in front of the background pattern.
11. 11. The fluid flow detection system of claim 10, wherein the one or more processors are further configured to: determining one or more characteristics of the fluid within the infusion container; Determining one or more parameters associated with the determined one or more characteristics, the one or more parameters for setting the displayed visual characteristics of the background pattern, and The displayed visual characteristics of the background pattern are adjusted.
12. 12. The fluid flow detection system of claim 11, wherein the one or more processors are further configured to: determining at least one change in said one or more parameters during said infusion, and The displayed visual characteristics are dynamically adjusted during the infusion.
13. 13. A machine-implemented method, comprising: causing an image sensing device to image a pattern of marks associated with a surface of an infusion container supplying fluid to an infusion pump during infusion of the fluid by the infusion pump, the pattern of marks being positioned such that when the infusion container is imaged by the image sensing device, the pattern overlaps with a characteristic of the fluid within the infusion container; determining a visual difference of the pattern from a default state of the pattern based on imaging the pattern; determining a volume of fluid infused from the infusion container based on the visual differences in the pattern, and An indication of the volume of fluid infused from the infusion container is provided on a display device associated with the infusion pump.
14. 14. The machine-implemented method of claim 13, wherein determining a visual difference in the pattern comprises: providing an image of the pattern to a model trained to identify a volume of fluid remaining in the infusion container based on comparing the pattern to a training data set of patterns and fluid characteristics, and In response to providing the image to the model, receiving a volume of fluid remaining in the infusion container from the model, Wherein the volume of fluid infused from the infusion container is based on a difference between the volume of fluid remaining in the infusion container received from the model and a previous volume of fluid determined to be in the infusion container.
15. 15. The machine-implemented method of claim 13, further comprising: determining that the infusion pump has initiated infusion of the fluid; Periodically monitoring the pattern with the image sensing device during the infusion; Receiving, from a controller associated with the infusion pump, an estimated volume of fluid infused by the infusion pump over a predetermined period of time; determining an actual volume of fluid infused by the infusion pump during the predetermined period of time based on the determined visual differences in the pattern; determining that the actual volume of fluid infused differs from the estimated volume by a threshold volume, and In response to determining that the actual volume of fluid infused differs from the estimated volume by a threshold volume, a motor speed of the infusion pump is adjusted to reduce a change between a flow rate calculated based on the estimated volume and a flow rate calculated based on the actual volume.
16. 16. The machine-implemented method of claim 13, further comprising: receiving an identifier of the infusion container; Determining one or more dimensions of the container and a default fluid volume within the container based on the identifier, wherein the one or more dimensions include a deformable diameter that depends on a current fluid volume within the container; determining the deformable diameter based on visual differences in the pattern, and A current fluid volume in the container is determined based on the determined deformable diameter, wherein a volume of fluid infused from the infusion container is based on a difference between the current volume and a previously determined volume.
17. 17. The machine-implemented method of claim 13, wherein the pattern of marks comprises: A background pattern and a foreground pattern, wherein the foreground pattern is in front of the fluid within the infusion container and the background pattern is behind the fluid in the infusion container between the image sensing device and the infusion container when the infusion container is imaged by the image sensing device, wherein the infusion container is transparent and the image generated by the image sensing device comprises a foreground pattern that is visually modified by a combination of the background pattern, a characteristic of the fluid within the infusion container, and a current shape of the container, wherein a portion of the modified foreground pattern differs based on a presence of the fluid within the infusion container at the portion, a presence of a volume of the fluid at a container level, or an absence of the fluid at the portion.
18. 18. The machine-implemented method of claim 13, wherein the pattern of indicia comprises a background pattern generated by a display device associated with the infusion pump, wherein the method further comprises: The background pattern is generated, wherein the display device is positioned behind the infusion container relative to the image sensing device such that the image sensing device images the fluid within the container in front of the background pattern.
19. 19. The machine-implemented method of claim 18, further comprising: determining one or more characteristics of the fluid within the infusion container; determining one or more parameters associated with the determined one or more characteristics, the one or more parameters for setting the displayed visual characteristics of the background pattern; adjusting the displayed visual characteristics of the background pattern; determining at least one change in said one or more parameters during infusion, and The displayed visual characteristics are dynamically adjusted during the infusion.
20. 20. A non-transitory machine-readable storage medium having instructions stored thereon, which when executed by a machine, cause the machine to perform the method of any of claims 13-19.

Description

Infusion volume detection system and method Background In medical care facilities, the infusion of medical fluids into a patient is a common patient care operation performed. Fluid infusion devices, such as infusion pumps, are typically configured to infuse fluid from a fluid source into a patient through a Vascular Access Device (VAD) (such as a syringe or catheter). Overdosing and underinfusion of medication with infusion pumps are problems that may occur in patient settings. Modern infusion devices include built-in sensors for detecting when a predetermined volume is infused, although there are appropriate alarm thresholds for the system to generate an alarm based on fluid flow, the pump itself may report an incorrect flow rate or infusion volume. Many of these inaccuracy contributing factors include, but are not limited to, (1) variations from pump to pump due to tolerance stack-up of many individual components, (2) environmental settings such as temperature, relative humidity, (3) pharmaceutical fluid properties such as viscosity, density, (4) fluid bag height, and (5) variations in disposable kits. While a clinician may be aware of these factors when initiating infusion therapy, in an actual clinical setting, these factors may not always be taken into account. For example, the fluid bag may not be disposed at the recommended height. Inaccuracy of the pump encoder may further result in inaccurate measurements and reports provided by the pump. Disclosure of Invention The subject technology provides a visual enabling system that monitors the fluid level in a fluid container used in infusion therapy, compares the monitored fluid level to fluid related parameters reported by conventional systems, and adjusts the infusion therapy as needed during operation to ensure the accuracy of the infusion therapy. For example, the adjustment may be provided as closed loop feedback that adjusts parameters of the infusion pump, including adjusting the motor speed of the pump to correct the expected infusion volume for a given time. In accordance with aspects of the subject technology, a disclosed fluid flow detection system includes an image sensing device configured to image an infusion container supplying fluid to an infusion pump, a pattern of markings associated with a surface of the infusion container and positioned such that the pattern overlaps with a characteristic of fluid within the infusion container when the infusion container is imaged by the image sensing device, and one or more processors configured to cause the image sensing device to image the marked pattern during infusion of the fluid by the infusion pump, determine a visual difference of the pattern from a default state of the pattern based on imaging of the pattern, determine a volume of fluid infused from the infusion container based on the visual difference in the pattern, determine a flow rate of the infusion, and provide an indication of the volume of fluid infused from the infusion container on a display device associated with the infusion pump. Other aspects include corresponding methods, apparatus, and computer program products for implementing the corresponding systems and features thereof. It is to be understood that other configurations of the subject technology will become apparent to those skilled in the art from the following detailed description, wherein various configurations of the subject technology are shown and described by way of illustration. As will be realized, the subject technology is capable of other and different configurations and its several details are capable of modification in various other respects, all without departing from the scope of the subject technology. Accordingly, the drawings and detailed description are to be regarded as illustrative in nature and not as restrictive. Drawings For a better understanding of the various described embodiments, reference should be made to the description of the embodiments below in conjunction with the following drawings. Like reference numerals refer to corresponding parts throughout the drawings and description. FIG. 1 depicts an example pump-driven fluid delivery system including use of the infusion pump shown in its intended environment, in accordance with aspects of the subject technology. Fig. 2A and 2B depict patterns of markings of examples associated with a surface of an infusion container in accordance with aspects of the subject technology. Fig. 3A-3C depict example visually-enabled fluid flow detection systems in accordance with aspects of the subject technology. Fig. 4 depicts a first example process of maintaining accuracy of an infusion pump using a visually-enabled fluid flow detection system in accordance with aspects of the subject technology. Fig. 5 depicts a second example process of maintaining accuracy of an infusion pump using a visually-enabled fluid flow detection system in accordance with aspects of the subject technology. Fig. 6 depicts an example p