Koninklijke Philips Corporation N.v.

Cornelis Conradus Adrianus Maria Van Zon

William Palmer Lord

Haibo Wang

Steffen Clarence Pauws

Abigail Acton Flower

Rick Bezemer

Maria Gabrani

Christine Menking Swisher

Elisabeth Francisca Maria Steffens

Juergen Te Vrugt

Christian Hentschel

Pradyumna Dutta

Lin Yang

Reinder Jaap Bril

Jia Xue

Alphonsus Anghonius Jozef De Lange

Preetish Rath

Zibo Meng

Techniques disclosed herein relate to monitoring changes in conditions of multiple individuals in areas. In some embodiments, a patient monitoring queue may be established () that includes a plurality of patients in an area () such as a waiting room. The area may be capturable by vital sign acquisition camera(s) () mounted in or near the area. Updated vital sign(s) may be unobtrusively acquired () by the vital sign acquisition camera(s) from a given patient selected () from the patient monitoring queue. Based on the updated vital sign(s) and prior vital signs acquired previously from the given patient, deterioration of the given patient may be detected (). Output may be provided () alerting medical personnel of the deterioration of the given patient.

Patient monitoring systems and methods

A method for training a model, the method including: defining a primary model for identifying a class of input data based on a first characteristic of the input data; defining a secondary model for detecting a change to a second characteristic between multiple input data captured at different times; defining a forward link from an output of an intermediate layer of the secondary model to an input of an intermediate layer of the primary model; and training the primary model and the secondary model in parallel based on a training set of input data.

Change-aware person identification

The capillary refill time (CRT) of a patient is an important feature in the determination of cardiovascular system health. Quick re-perfusion of the microcirculation (namely, the capillaries) is a good indication that the cardiovascular system is able to efficiently distribute blood throughout the body. Current systems use unreliable or subjective methods to test the CRT. Additionally, the calculation of CRT is not generally used in the adult medical space as it is more commonly used in pediatrics. The present application describes a system and method for calculating a patient's CRT using a mobile device with an integrated camera and light source, or an optical head-mounted display using a light source in combination with ambient light to calculate the CRT. Once a patient's CRT is calculated, an integrated application classifies the data and sends it to the treating clinician for review.

Approach for measuring capillary refill time

A method for providing one or more customized alarm setting recommendations for a patient includes the steps of: providing a patient monitor configured to monitor the patient, the patient monitor comprising a patient sensor and a processor configured to receive the sensor data from the patient sensor, receiving, by the patient monitor, information about a patient; analyzing, by the processor using an alarm setting recommendation classifier, the received information about the patient to generate one or more alarm setting recommendations customized to the patient; providing the one or more alarm setting recommendations to the user, and receiving input from the user accepting, rejecting, and/or modifying the alarm setting recommendations.

Methods and systems for providing customized settings for patient monitors

Methods and systems for detecting false alarms. Methods and systems described herein may receive data associated with an alarm signal using an interface, extract at least one artifact feature from the received data, and then receive a classification of the alarm signal as a true positive or false positive based on the at least one extracted artifact feature. The classifier may be configured to execute an ensemble of decision trees.

False alarm detection

Disclosed techniques relate to identifying subjects in digital images. In various embodiments, a first camera () may acquire () digital images () depicting a subject in an area. Portion(s) of the digital image(s) that depict a face of the subject may be detected () as detected face image(s). Features of the detected face image(s) may be compared () with features of subject reference templates associated with subject(s) in a subject reference database (). The subject reference database stores subject reference templates that are associated with multiple subjects and that are generated based on data received from a second camera (). Based on the comparing, an identity of the subject may be determined () and the features of the detected face image(s) may be stored () in the subject reference database in association with the subject, e.g., as an auxiliary template feature vector for later use.

Subject identification systems and methods

In various embodiments, a first plurality of digital images captured by a first camera () of a first area may be categorized (-) into multiple predetermined categories based on visual attribute(s) of the first plurality of digital images. A second plurality of digital images captured by a second camera () of a second area may be categorized (-) into the same predetermined categories based on visual attribute(s) of the second plurality of digital images. After the second camera acquires () a subsequent digital image depicting an unknown subject in the second area, the subsequent digital image may be categorized (-) into a given one of the predetermined categories based on its visual attribute(s), and then adjusted () based on a relationship between the first plurality of digital images categorized into the given category and the second plurality of digital images categorized into the given category.

Camera and image calibration for subject identification

Techniques disclosed herein relate to automatic pan-tilt-zoom adjustment to improve vital sign acquisition. In various embodiments, a vital sign acquisition camera () operable to pan, tilt, and zoom ('PTZ') may capture () an image of a patient (). The image may be analyzed () to detect a depicted position of the patient within an image coordinate space of the image. A desired position of the patient within the image coordinate space of the image may determined (), and a difference in the image coordinate space between the depicted position and the desired position may be calculated (). The difference may then be mapped () from the image coordinate space to a PTZ space. One or more PTZ parameters of the vital sign acquisition camera may be altered () based on the mapping. After altering the one or more PTZ parameters, the vital sign acquisition camera may acquire () one or more vital signs from the patient.

Automatic pan-tilt-zoom adjustment to improve vital sign acquisition

Disclosed techniques relate to identifying subjects in digital images. In some embodiments, intake digital images () are acquired () that capture a first subject. A subset of the intake digital images is selected () that depict multiple different views of the first subject's face. Based on the selected subset of intake digital images, first subject reference templates are generated and stored in a subject database (). Later, a second subject is selected () for identification within an area. Associated second subject reference templates are retrieved () from the subject reference database. Digital image(s) () that depict the area are acquired (). Portion(s) of the digital image(s) that depict faces of subject(s) in the area are detected () as detected face image(s). A given detected face image is compared () to the second subject reference templates to identify the second subject () in the digital image(s) that capture the area.

Patient identification systems and methods

A system, method and tangible computer readable storage medium for storing a computer-implemented guideline, wherein the computer-implemented guideline includes a plurality of device independent nodes, determining a current state of the computer-implemented guideline, wherein the current state relates to one of the device independent nodes, retrieving device features relating to a device on which the one of the device independent nodes of the computer-implemented guideline is to be performed, modifying the one of the device independent nodes based on the device features to generate a device specific node and instantiating the device specific node on the device.

Method and system for determining patient status

A method for visualizing concurrently executing clinical guidelines executed by a clinical decision support system for a subject includes presenting, on a display, a first guideline window in a graphical user interface, wherein the first guideline window presents information corresponding to a first of the concurrently executing clinical guidelines, and presenting, on the display and concurrently with the first guideline window, a second guideline window in the graphical user interface, wherein the second guideline window presents information corresponding to a second of the concurrently executing clinical guidelines.

Visualization of concurrently executing computer interpretable guidelines

A system () for presenting guideline recommendations to care givers includes at least one display device (), each displaying a user interface. The system () further includes at least one processor (). The processor () is programmed to receive a guideline recommendation for a patient based on a computer interpretable guideline (CIG) and present the guideline recommendation to at least one associated user according to a plurality of alternative approaches for representing the guideline recommendation. At least one of the plurality of alternative approaches uses the user interface of one of the at least one display device () to represent the guideline recommendation.

Executable guideline solution with multiple alternative views on recommended care steps

A device having a sensor detecting patient physiological data, a detection element detecting whether a medical professional is present in a patient's room and a display. If a medical professional is present in the patient's room, the display displays a first display mode, the first display mode including the patient physiological data. If a medical professional is not present in the patient's room, the display displays a second display mode, the second display mode being adapted for viewing by lay viewers.

System and method for providing family mode for monitoring devices

In consumer devices, like digital television sets or set-top boxes, there can be a problem with a sudden load increase caused by for example a scene change and user focus. During such a load increase, the quality of service of the application having the user focus will decrease until the device detects the load increase. The device can reallocate resources to the application having the user focus after which the quality of service will increase again towards its previous level. However, the user may have noticed the quality decrease. In order to prevent this noticeable decrease of quality in overload situations, a method and a system are provided that guarantees a worst-case budget to the application having user focus and conditionally guarantees a budget surplus to an application not having the user focus. The latter application can then use that budget surplus to operate at a higher quality of service level.

Growing community of inventors

Fishkill, NY, United States of America

Cornelis Conradus Adrianus Maria Van Zon