Gauss Surgical, Inc.

Dolby Laboratories Licensing Corporation

Stryker Corporation

3vr Security, Inc.

Ali Zandifar

Siddarth Satish

Kevin J Miller

Andrew T Hosford

Robin Atkins

James E Crenshaw

Juan Carlos Aragon

Cristina Michel Vasco

Anustup Kumar Atanu Choudhury

Thaddeus Beier

Titas De

Michael Hsieh

Ian Godin

David Rempel

Christopher Madison

Eric Lindquist

Charles Zhao

Amer Abdulla

Mark Gonzalgo

Christopher Allocco

Derrick Low

Narasimha Paila

Jithendra Paruchuri

Andrew Hosford

Charles Zaho

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.

System and method for estimating extracorporeal blood volume in a physical sample

In image processing system comprises an input configured to receive an image signal, the image signal including a plurality of frames of image data; and a processor configured to automatically determine an image classification based on at least one frame of the plurality of frames, and dynamically generate a mapping metadata based on the image classification. The processor includes determination circuitry configured to determine a content type for the image signal; segmentation circuitry configured to segment the image data into a plurality of feature item regions, based on the content type; extraction circuitry configured to extract at least one image aspect value for respective ones of the plurality of feature item regions.

Content-aware PQ range analyzer and tone mapping in live feeds

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.

System and method for estimating a quantity of a blood component in a fluid canister

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.

Systems and method for estimating extracorporeal blood volume in a physical sample

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.

System and methods for managing blood loss of a patient

A method for generating metadata for use by a video decoder for displaying video content encoded by a video encoder includes: (1) accessing a target tone mapping curve; (2) accessing a decoder tone curve corresponding to a tone curve used by the video decoder for tone mapping the video content; (3) generating a plurality of parameters of a trim-pass function used by the video decoder to apply after applying the decoder tone curve to the video content, wherein the parameters of the trim-pass function are generated to approximate the target tone curve with the combination of the trim-pass function and the decoder tone curve, and (4) generating the metadata for use by the video decoder, including said plurality of parameters of the trim-pass function.

Tone-curve optimization method and associated video encoder and video decoder

One method for estimating the extracorporeal blood volume in a portion of a physical sample includes: extracting a feature from a portion of an image of the sample; tagging the portion of the image of the sample with a blood volume indicator according to the extracted feature; and estimating the extracorporeal blood volume in at least the portion of the physical sample, associated with the portion of the image of the sample, according to the blood volume indicator.

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 marking; 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.

Techniques are provided for calculating an average time people spend at a particular location, such as a store. A plurality of entrance times is identified, where each entrance time corresponds to when one or more objects entered the particular location. A plurality of exit times is also identified, where each exit time corresponds to when one or more objects exited the particular location. An average entrance time is determined based on the plurality of entrance times. An average exit time is determined based on the plurality of exit times. An average time people spend at the particular location is determined based on a difference between the average exit time and the average entrance time.

Calculating duration time in a confined space

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.

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San Francisco, CA, United States of America

Ali Zandifar