General Electric Company

Utc Fire & Security Americas Corporation, Inc.

Kedar Anil Patwardhan

David Martin Mills

Ting Yu

Peter Henry Tu

Dashan Gao

Yi Yao

Aaron Mark Dentinger

Piero Patrone Bonissone

Christopher Donald Johnson

Naresh Sundaram Iyer

Sandeep Narendra Gupta

John Michael Lizzi

Kunter Seref Akbay

Corey Nicholas Bufi

Viswanath Avasarala

Yongjian Yu

Li Guan

Ralph Thomas Hoctor

Ser Nam Lim

Nils Oliver Krahnstoever

Gang Liu

Jae Hong Kim

Kunlin Cao

Seref Akbay Kunter

John Michael Jr Lizzi

The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.

System and method for protocol adherence

An apparatus for detecting catheter(s) in 3D ultrasound images includes a 3D ultrasound image acquiring module and a catheter centerline 3D trajectory generating module. The 3D ultrasound image acquiring module is used for capturing an original 3D ultrasound image. The catheter centerline 3D trajectory generating module is used for detecting and visualizing a catheter in the 3D ultrasound image.

Apparatus and method for detecting catheter in three-dimensional ultrasound images

A method for detecting and tracking a target includes detecting the target using a plurality of feature cues, fusing the plurality of feature cues to form a set of target hypotheses, tracking the target based on the set of target hypotheses and a scene context analysis, and updating the tracking of the target based on a target motion model.

Real-time video tracking system

In accordance with one aspect of the present technique, a method includes receiving a plurality of images of an abdominal region from an image capture device. The method further includes identifying a bowel tissue and a peristaltic portion of the bowel tissue from the plurality of images. The method further includes determining a peristalsis property of the bowel tissue based on the peristaltic portion. The peristalsis property includes at least one of a percentage of the peristaltic portion within the bowel tissue and an amount of peristalsis in the peristaltic portion. The method also includes assessing a health the bowel tissue based on the peristalsis property of the peristaltic portion.

System and method for assessing bowel health

In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.

Methods for automatic segmentation and temporal tracking

In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing, and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.

An automated method for detecting a disease state is presented. The method includes identifying a bone surface in one or more image data sets, wherein the one or more data sets correspond to a region of interest in an object of interest. Furthermore, the method includes segmenting a joint capsule region corresponding to the one or more image data sets based on a corresponding identified bone surface. In addition, the method includes analyzing the segmented joint capsule region to identify the disease state. Systems and non-transitory computer readable medium configured to perform the automated method for detecting a disease state are also presented.

Method and system for ultrasound based automated detection, quantification and tracking of pathologies

A method for continuous non-invasive monitoring of multiple arterial parameters of a patient is provided. The method includes continuously acquiring ultrasound data via an ultrasound transducer attached to the patient for detecting a blood vessel using color flow processing within a monitoring scan plane. Further, the method includes processing the continuously acquired ultrasound data to generate continuous quantitative waveforms based on an estimated cross-sectional area of the blood vessel and an estimated volumetric flow rate of blood through the vessel and displaying the generated continuous quantitative waveforms for monitoring the arterial parameters of the patient in real-time.

Method and system for non-invasive monitoring of patient parameters

A system, method and program product for camera-based discovery of social networks. The computer implemented method for identifying individuals and associating tracks with individuals in camera-generated images from a face capture camera(s) and a tracking camera(s), wherein the computer implemented method includes: receiving images of an individual from the face capture camera(s) on a computer; receiving images of a track(s) of an individual from the tracking camera(s) on a computer; automatically determining with the computer the track(s) from the images from the tracking camera(s); and associating with the computer the track(s) with the individual(s) and a unique identifier. The present invention has been described in terms of specific embodiment(s), and it is recognized that equivalents, alternatives, and modifications, aside from those expressly stated, are possible and within the scope of the appending claims.

Growing community of inventors

Latham, NY, United States of America

Kedar Anil Patwardhan