Google Inc.

Cellomics, Inc.

Zoll Medical Corporation

Zoll Medical Corption

Michael Andrew Sipe

Henry Will Schneiderman

Michael Nechyba

R Terry Dunlay

Hugo Botelho Barra

Marco Paglia

Etienne Le Grand

Francesco Nicolo

Mikkel Crone Köser

Jeffery T Mitchell

Yong Zhao

Kent Volosin

Christian Robertson

Rachel Leah Garb

Kim Ippolito

Igor Tsvetkov

Oleg Lapets

Randall Shopoff

Helena Roeber

Terry R Dunlay

A system for providing electrocardiogram (ECG) information to a healthcare provider (HCP) is provided. The system includes a network interface configured to receive drug prescription information from a computing device associated with the HCP and ECG data from a medical device associated with a patient. The system also includes a memory configured to store the drug prescription information and the ECG data. The system can further a processor configured to select a period of time over which to review the received drug prescription information and the received ECG data, retrieve the received ECG data for the selected period of time, derive one or more ECG metrics including at least one heart rate parameter, and generate a graphical representation indicating a trend in the one or more ECG metrics and a relationship between the one or more ECG metrics and the drug prescription information.

Systems and methods for providing drug prescription information with monitored cardiac information

An ECG processing system for identifying noisy ECG data segments is provided. The ECG processing system includes a network interface and a processor. The network interface is configured to receive a first collection of ECG data segments from wearable medical devices associated with a plurality of patients, each wearable medical device of the wearable medical devices being configured to be continuously worn by a patient for an extended period of time. The processor is configured to produce a second collection of ECG data segments from the first collection of ECG data segments that excludes noisy ECG data segments.

Single channel and dual channel noise detection systems and techniques

A content annotation tool is disclosed. In a configuration, a portion of a movie may be obtained from a database. Entities, such as an actor, background music, text, etc. may be automatically identified in the movie. A user, such as a content producer, may associate and/or provide supplemental content for an identified entity to the database. A selection of one or more automatically identified entities may be received. A database entry may be generated that links the identified entity with the supplemental content. The selected automatically identified one or more entities and//or supplemental content associated therewith may be presented to an end user.

Content annotation tool

In one example, a method includes determining, by a first motion module of a computing device and based on first motion data measured by a first motion sensor at a first time, that the mobile computing device has moved, wherein a display operatively coupled to the computing device is deactivated at the first time; responsive to determining that the computing device has moved, activating a second motion module; determining, by the second motion module, second motion data measured by a second motion sensor, wherein determining the second motion data uses a greater quantity of power than determining the first motion data; determining a statistic of a group of statistics based on the second motion data; and responsive to determining that at least one of the group of statistics satisfies a threshold, activating the display.

Buttonless display activation

A method for dynamic switching of user profiles on a computing device. The computing device is coupled to at least one image-sensing device and can be configured using a plurality of stored user profiles. The method includes receiving at least one image from the at least one image-sensing device and generating a current user value based on the at least one received image. The method further includes determining if the current user value corresponds to at least one stored user value corresponding to a stored user profile. If the current user value corresponds to at least one stored user value, the method includes retrieving the stored user profile and configuring at least some programs operating on the computing device using the retrieved user profile. If the current user value does correspond to at least one stored user value, the method includes configuring the computing device using an alternative method.

Dynamic profile switching based on user identification

Supplemental information to a media content such as a video can be shown to the user. The supplemental information can be selected based upon a profile of the user and one or both of the identity of the media content and the identity of an entity of interest in the media content. The supplemental information can be customized to the user based on the content being viewed and an entity of interest to the user in the viewed content.

Rendering supplemental information concerning a scheduled event based on an identified entity in media content

A transformed video and a source video may be synchronized according to implementations disclosed herein to provide tag information to the device receiving the transformed version of the video. A synchronization signal may be computed on the source video and the transformed video using a statistic such as mean pixel intensity. The synchronization signals computed for the transformed video and source video may be compared to determine a transformed video reference point location for the requested tag information. The requested tag information may be provided to the device receiving the transformed version of the video.

Synchronizing videos with frame-based metadata using video content

A content annotation tool is disclosed. In a configuration, a portion of a movie may be obtained from a database. Entities, such as an actor, background music, text, etc. may be automatically identified in the movie. A user, such as a content producer, may associate and/or provide supplemental content for an identified entity to the database. A selection of one or more automatically identified entities may be received. A database entry may be generated that links the identified entity with the supplemental content. The selected automatically identified one or more entities and/or supplemental content associated therewith may be presented to an end user.

An example method includes capturing, by a camera of a computing device, an image including at least a face of a user, calculating a face template of the face of the user in the image, and analyzing the face template to determine whether the face includes at least one of a removable facial feature that decreases a level of distinctiveness between two faces and a non-removable facial feature that decreases a level of distinctiveness between two faces. When the face includes the removable facial feature, the method further includes outputting a notification for the user to remove the removable facial feature. When the face includes the non-removable facial feature, the method further includes adjusting a first similarity score threshold to a second similarity score threshold.

Facial feature detection

In general, video segmentation techniques are described. According to various examples, the video segmentation techniques may be based on video content. An example method includes determining one or more segments into which to divide video content, dividing the video content into the determined number of segments identifying a boundary frame associated with each of the segments, and adjusting the respective boundary frame associated with a first segment of the segments to generate an adjusted boundary frame associated with the first segment, wherein the adjusting is based on an one or more entity representations associated with the adjusted boundary frame.

Content-based video segmentation

An example method includes receiving a first image and a second image of a face of a user, where one or both images have been granted a match by facial recognition. The method further includes detecting a liveness gesture based on at least one of a yaw angle of the second image relative to the first image and a pitch angle of the second image relative to the first image, where the yaw angle corresponds to a transition along a horizontal axis, and where the pitch angle corresponds to a transition along a vertical axis. The method further includes generating a liveness score based on a yaw angle magnitude and/or a pitch angle magnitude, comparing the liveness score to a threshold value, and determining, based on the comparison, whether to deny authentication to the user with respect to accessing one or more functionalities controlled by the computing device.

Facial recognition

An example method includes capturing, by a camera of a mobile computing device, an image, determining whether the image includes a representation of at least a portion of a face, and, when the image includes the representation of at least the portion of the face, analyzing characteristics of the image. The characteristics include at least one of a tonal distribution of the image that is associated with a darkness-based mapping of a plurality of pixels of the image, and a plurality of spatial frequencies of the image that are associated with a visual transition between adjacent pixels of the image. The method further includes classifying, by the mobile computing device, a quality of the image based at least in part on the analyzed characteristics of the image.

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Pittsburgh, PA, United States of America

Michael Andrew Sipe