Abstract:
A system and method for assessing the concentration of a fluid component within a container, the method comprising: receiving data associated with an image of the canister; from the image, detecting a color grid comprising color elements coupled to the canister,; selecting a region of the image corresponding to a portion of the canister; determining a match between a detected color of the region and a shade in the set of colors associated with the color grid captured in the image; based upon a position of a color element corresponding to the shade in the color grid, retrieving a concentration of the blood component associated with the shade of color.
Abstract:
A method and system for communicating estimated blood loss parameters of a patient to a user, the method comprising: receiving data representative of an image, of a fluid receiver; automatically detecting a region within the image associated with a volume of fluid received at the fluid receiver, the volume of fluid including a blood component; calculating an estimated amount of the blood component present in the volume of fluid based upon a color parameter represented in the region, and determining a bias error associated with the estimated amount of the blood component; updating an analysis of an aggregate amount of the blood component and an aggregate bias error associated with blood loss of the patient, based upon the estimated amount of the blood component and the bias error; and providing information from the analysis of the aggregate amount of the blood component and the aggregate bias error, to the user.
Abstract:
A computer-implemented method for tracking surgical textiles includes receiving a first image comprising a first textile-depicting image region, receiving a second image comprising a second textile-depicting image region, measuring a likelihood that the first and second image regions depict at least a portion of the same textile, and incrementing an index counter if the measure of likelihood does not meet a predetermined threshold. The measure of likelihood may be based on at least one classification feature at least partially based on aspects or other features of the first and second images.
Abstract:
Methods for characterizing fluids from a patient. A time series of images of a conduit are received, and a conduit image region in the images is identified. A flow type of the fluids passing through the conduit may be classified as one of air, laminar liquid, and turbulent liquid by evaluating an air-liquid boundary of the fluid. A volumetric flow rate of the fluids in the conduit is estimated. The volumetric flow rate may be based on the classified flow type. A concentration of a blood component of the fluids passing through the conduit may be estimated based on the images. A proportion of the fluid that is blood may also be determined, and a volume of blood that has passed through the conduit within a predetermined period of time may be estimated based on the estimated total volumetric flow rate and the determined proportion.
Abstract:
A method and system for communicating estimated blood loss parameters of a patient to a user, the method comprising: receiving data representative of an image, of a fluid receiver; automatically detecting a region within the image associated with a volume of fluid received at the fluid receiver, the volume of fluid including a blood component; calculating an estimated amount of the blood component present in the volume of fluid based upon a color parameter represented in the region, and determining a bias error associated with the estimated amount of the blood component; updating an analysis of an aggregate amount of the blood component and an aggregate bias error associated with blood loss of the patient, based upon the estimated amount of the blood component and the bias error; and providing information from the analysis of the aggregate amount of the blood component and the aggregate bias error, to the user.
Abstract:
Systems and methods for assessing fluids from a patient are disclosed. The system includes a receptacle including an inlet port, an outlet port, and a third port; a valve system in fluidic communication with the receptacle; and one or more features in the receptacle to aid in optical imaging of fluids. The system has a fill mode and a flush mode. In the fill mode, the valve system directs suction from a vacuum source through the third port into the receptacle, thereby drawing fluid through the inlet port into the receptacle. In the flush mode, the valve system directs suction from the vacuum source through the outlet port, thereby drawing fluid through the outlet port out of the receptacle. Fluid-related information such as, for example, concentration of a blood component, may be estimated based on images of fluids in the receptacle.
Abstract:
Described herein are methods and systems for tracking surgical items. The methods may be performed by one or more processors, and may include receiving a first count of surgical items, receiving one or more images, wherein each image is a field of view comprising one or more surgical items, determining a second count of surgical items based at least in part on the one or more received images, and providing a notification based on the comparison between the first count of surgical items and the second count of surgical items.
Abstract:
Methods and systems for characterizing fluids from a patient are disclosed. The method includes receiving a time series of images of a conduit receiving fluids from the patient, identifying a conduit image region in each of the images, classifying a flow type through the conduit based on an evaluation of the conduit image region in the time series of images, and estimating at least one of a volume of fluids and a quantity of a blood component that has passed through the conduit within a predetermined period of time, based at least in part on the classification of the flow type.
Abstract:
One variation of the method for managing blood loss of a patient includes: receiving an image of a physical sample; extracting a feature from an area of the image corresponding to the physical sample; estimating a blood volume indicator of the physical sample according to the extracted feature; estimating a patient blood loss based on the blood volume indicator; estimating a euvolemic patient hematocrit based on an estimated patient blood volume and the estimated patient blood loss; receiving a measured patient hematocrit; and generating a volemic status indicator based on a comparison between the measured patient hematocrit and the estimated euvolemic patient hematocrit.
Abstract:
System and methods for analyzing the contents of a fluid canister are provided for use in healthcare settings. The system includes optical and weight sensors to analyze the canister contents.