Abstract: A system performs a method for processing an image of a machine-readable code. The method includes receiving an image of a machine-readable code comprising coded information, where the machine-readable code is at least partially obscured. An adjusted image is generated by adjusting a color space of the image. At least a machine-readable code region of the image is binarized, wherein the machine-readable code region of the image depicts the machine-readable code. The binarized machine-readable code region is decoded to determine the coded information. Other apparatus and methods are also described.

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. The conduit image region may include a shallow section and/or a deep section. The shallow section includes a dimension of the conduit along an optical axis of the camera such that opacity of the fluids from redness associated with red blood cells or hemoglobin is limited to permit pixel color visualization in the images. The deep section includes a dimension is along the optical axis such that the redness provides a minimum opacity to permit the pixel color visualization. A concentration of a blood component of the fluids is determined based on the pixel color visualization. A volume of blood passing through the conduit is estimated based on the estimated concentration of the blood component and an estimated volumetric flow rate.

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 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: 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: A method of estimating blood loss of patient fluid within a fluid canister. A camera may automatically capture one or more images of the fluid canister based on a detected change in volume of patient fluid within the fluid canister exceeding a threshold. The image is analyzed determine the volume of the patient fluid, and a blood concentration of the patient fluid within the fluid canister. The blood loss is estimated based on the volume and the blood concentration, and displayed on a display. A pixel-based height of the patient fluid within the fluid canister may be calculated based on the surface of the patient fluid. The pixel-based height may be converted to the estimated fluid volume. The image may be a frame of a multi-frame video feed. The image(s) of the multi-frame video feed may be analyzed as the patient fluid is being drawn into the fluid canister.

Abstract: A method for analyzing a surgical textile. A depth image and a color image of the surgical textile is acquired. One or more processors analyze a depth map of the depth image to apply one or more image classifiers. Blood information is extracted from pixels of the color image if the depth image satisfies the classifier(s). The classifier(s) may be a perimeter classifier, a planarity classifier, a normality classifier, a distance classifier, and/or a color classifier, among others. The distance classifier may include transforming pixel dimensions of a selected surface in the depth image into real dimensions based on distance values of the pixels. A graphical representation may be displayed to indicate the need to move the surgical textile closer or farther to satisfy the distance classifier. A prompt may be displayed to manipulate the surgical textile prior to the steps of acquiring the depth image and the color image.

Abstract: A method for estimating extracorporeal blood volume in at least a portion of a fluid canister. A light source may be activated, and an image of the fluid canister is captured with an optical sensor. The image may be a color frame of a video stream. A color-related feature is extracted from at least a portion of the image. A concentration of hemoglobin is estimated based on the extracted color-related feature. A fluid level of fluid within the fluid canister may be estimated from the image. Extracorporeal blood volume based on the estimated concentration of hemoglobin and a fluid volume or the estimated fluid level. The estimated extracorporeal blood volume is displayed on a display. The estimated extracorporeal blood volume and the estimated fluid level may be monitored over time. The optical sensor may be disposed on a handheld mobile device mounted to a side of the fluid canister.

Abstract: A system performs a method for processing an image of a machine-readable code. The method includes receiving an image of a machine-readable code comprising coded information, where the machine-readable code is at least partially obscured. An adjusted image is generated by adjusting a color space of the image. At least a machine-readable code region of the image is binarized, wherein the machine-readable code region of the image depicts the machine-readable code. The binarized machine-readable code region is decoded to determine the coded information. Other apparatus and methods are also described.

Abstract: A variation of a method for estimating a quantity of a blood component in a fluid canister includes: within an image of a canister, identifying a reference marker on the canister; selecting an area of the image based on the reference marker; correlating a portion of the selected area with a fluid level within the canister; estimating a volume of fluid within the canister based on the fluid level; extracting a feature from the selected area; correlating the extracted featured with a concentration of a blood component within the canister; and estimating a quantity of the blood component within the canister based on the estimated volume and the concentration of the blood component within the canister.

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: Systems and methods for detecting, counting and analyzing the blood content of a surgical textile are provided, utilizing an infrared or depth camera in conjunction with a color image.

Abstract: A method for estimating extracorporeal blood volume in at least a portion of a physical sample. A feature is extracted from an image of the physical sample. The extracorporeal blood volume in the portion of the physical sample is estimated. The estimation may be based on the extracted feature and at least one of the estimated distance and the estimated angle between a capture origin of the image and the portion of the physical sample based on a returned signal transmitted from a distance sensor. The estimated extracorporeal blood volume may be displayed on a display, such an augmented reality overlay in which the image of the portion of the physical sample is displayed with at least one of the estimated extracorporeal blood volume or a sample counter. The sample counter may be indexed for the physical sample after estimating the extracorporeal blood volume.

Abstract: A system performs a method for processing an image of a machine-readable code. The method includes receiving an image of a machine-readable code comprising coded information, where the machine-readable code is at least partially obscured by a substance that has a predominant color; generating an adjusted image by adjusting a color space of the image based on the predominant color; binarizing at least a machine-readable code region of the image, wherein the machine-readable code region of the image depicts the machine-readable code; and decoding the binarized machine-readable code region to determine the coded information. Other apparatus and methods are also described.

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: 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: 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: A machine causes capture of an image that depicts an optically readable code exhibited by a measurement device that corresponds to a scheduled medical procedure. The machine then determines, based on the optically readable code depicted by the captured image, a hardware identifier of a network interface of the measurement device and a location identifier of the measurement device. The machine next identifies the medical procedure based on the location identifier determined based on the optically readable code exhibited by the measurement device. The machine establishes a network connection with the measurement device based on the determined hardware identifier of the network interface of the measurement device. The established network connection may provide access to measurement data generated by the measurement device that corresponds to the scheduled medical procedure identified based on the location identifier of the measurement device.

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 for monitoring blood loss include a display for simultaneously depicting a current blood loss metric at different time points or along a time line. In addition, historical or comparative blood loss information is provided on the display so that the healthcare provider can see assess the current blood loss metric relative to other metrics, so that the healthcare provider can more accurately assess and manage the patient's status.