Microsoft Technology Licensing, LLC

Elwha LLC

Microsoft Technology Licnesing, LLC

Desney S Tan

Lowell L Wood, Jr

Roderick A Hyde

Nathan P Myhrvold

Muriel Y Ishikawa

Craig J Mundie

Clarence T Tegreene

Jordin T Kare

Victoria Y H Wood

Matthew Graham Dyor

Robert W Lord

Richard T Lord

Charles Whitmer

William Henry Gates, Iii

Paramvir Bahl

Ranveer Chandra

Douglas Christopher Burger

Robert C Petroski

Jesse R Cheatham, Iii

Lin Zhong

Tim Paek

Andrew David Wilson

George G Robertson

Daniel Morris

Jeannette M Wing

Mary P Czerwinski

Pablos Holman

Michael Koenig

Peter N Glaskowsky

Mark A Malamud

Royce A Levien

John D Rinaldo, Jr

Kenneth Paul Hinckley

Edward K Y Jung

Paul D Holman

Kimberly D A Hallman

T Scott Saponas

Dan Morris

Eric J Horvitz

Eric D Rudder

Shwetak N Patel

Brian R Meyers

Oscar E Murillo

Roland Lucas Fernandez

Ashish Kapoor

Nuria M Oliver

Steven William Macbeth

Steven Nabil Bathiche

Yong Rui

Nicolas Villar

Patrick Markus Baudisch

Bongshin Lee

Nikunj Raghuvanshi

Sidhant Gupta

Hrvoje Benko

Paul Henry Dietz

Gregory Ray Smith

Todd E Holmdahl

Hadas Bitran

Eric Leuthardt

Elizabeth A Sweeney

David R Smith

Tony S Pan

Yaroslav Aleksandrovich Urzhumov

Anoop Gupta

Steven Mark Drucker

Amir Netz

Tom Driscoll

Daniel Chaim Robbins

Brett David Brewer

Maneesh Agrawala

Greg R Smith

James Anthony Fogarty

Michael Anthony Hall

Ravin Balakrishnan

Asta Jane Roseway

Amy Kathleen Karlson

Michael Shilman

Ira Snyder

Zhengyou Zhang

Alistair K Chan

Jin Li

Stephen G Latta

Tovi Samuel Grossman

Richard S Szeliski

Philip Andrew Chou

Kevin Geisner

Patrice Y Simard

Eric H Rudolph

John Michael Snyder

Matthew Uyttendaele

Raman Kumar Sarin

Brian Kevin Guenter

Drew Edward Steedly

Sumit Basu

Johnny Chung Lee

Christopher Harrison

Rajesh Hegde

Edward Bryan Cutrell

Jonathan Bernard Lester

Wearable pulse pressure wave sensing devices are presented that generally provide a non-intrusive way to measure a pulse pressure wave travelling through an artery using a wearable device. In one implementation, the device includes an array of pressure sensors disposed on a mounting structure which is attachable to a user on an area proximate to an underlying artery. Each of the pressure sensors is capable of being mechanically coupled to the skin of the user proximate to the underlying artery. In addition, there are one or more arterial location sensors disposed on the mounting structure which identify a location on the user's skin likely overlying the artery. A pulse pressure wave is then measured using the pressure sensor of the array closest to the identified location.

Wearable pulse pressure wave sensing device

Techniques for ability enhancement are described. In some embodiments, devices and systems located in a transportation network share threat information with one another, in order to enhance a user's ability to operate or function in a transportation-related context. In one embodiment, a process in a vehicle receives threat information from a remote device, the threat information based on information about objects or conditions proximate to the remote device. The process then determines that the threat information is relevant to the safe operation of the vehicle. Then, the process modifies operation of the vehicle based on the threat information, such as by presenting a message to the operator of the vehicle and/or controlling the vehicle itself.

Ability enhancement

Systems, methods, computer-readable storage mediums including computer-readable instructions and/or circuitry for control of transmission to a target device with communicating with one or more sensors in an ad-hoc sensor network may implement operations including, but not limited to: receiving electrical power via at least one structurally integrated electrically conductive element; and powering one or more sensing operations of one or more sensors via the electrical power.

Ad-hoc wireless sensor package

The description relates to a shared digital workspace. One example includes a display device and sensors. The sensors are configured to detect users proximate the display device and to detect that an individual user is performing an individual user command relative to the display device. The system also includes a graphical user interface configured to be presented on the display device that allows multiple detected users to simultaneously interact with the graphical user interface via user commands.

User interface for collaborative efforts

Described herein are technologies pertaining to automatic generation of an executive summary (explanation) of a medical event in an electronic medical record (EMR) of a patient. A medical event in the EMR is automatically identified, and a search is conducted over a document corpus based upon the identified medical event. A document retrieved as a result of the search is analyzed for a portion of text to act as an executive summary for the medical event. Each portion of text in the document is assigned a score, and the portion of text assigned the highest score is utilized as the executive summary for the medical event.

Automatic generation of an executive summary for a medical event in an electronic medical record

A wrist-worn device heart-monitoring device is presented. The wrist-worn heart-monitoring device includes a radial tonometer configured to output a pressure signal indicating a pulse pressure wave at a user's wrist, two or more electrodes configured to output an electrical signal indicating a user's heart has been commanded to contract, and a microphone configured to output an audio signal indicating a closing of a user's aortic valve. The wrist-worn heart-monitoring device further includes a pulse transit time monitor configured to calculate a pre-ejection period of the user's heart based on at least the pressure, electrical, and audio signals, and calculate a pulse transit time based on at least the pre-ejection period, the pressure signal, and the electrical signal.

Wrist-worn pulse transit time sensor

A computing system for calculating a total calorie count is provided. The computing system comprising an electronic personal assistant application program executed on a client computing device, and including a purchase tracking module configured to receive notifications of purchases made for individual food items, a calorie tracking module configured to identify calorie counts associated with each purchased food item and to calculate a calorie count statistic based thereon, a calorie apportionment module configured to apportion the calorie counts of the food items to a user so that the calorie count statistic is based upon an apportioned total of the calorie counts of the food items that have been apportioned to the user; and a graphical user interface module configured to display a graphical user interface including an indicator of the calorie count statistic on a display associated with the client computing device.

Calculating calorie statistics based on purchases

A client computing device is disclosed that comprises a processor and an electronic personal assistant application program. The personal assistant application program may be configured to capture user data associated with user activities across a plurality of computer programs. The user data may be sent to a personal assistant user data interpretation engine. A health-related suggestion based on at least a subset of the user data and anonymized statistics of a user population retrieved from an aggregated knowledge base may be received. The health-related suggestion may be displayed on a display associated with the client computing device.

Client computing device health-related suggestions

A computing system comprises an electronic personal assistant application program executed on a client computing device. Included are a health insurance retriever configured to retrieve health insurance information of a user, a history combiner configured to combined aggregated histories of a plurality of users into an anonymized combined time and location-based data, and a health recommender configured to identify at least one health condition of the user, determine a health recommendation at least on the identified health condition, and output the health recommendation including the recommended health care service, providers, and an indication of insurance coverage of the recommended service at each of the providers.

Recommendations for health benefit resources

A method for facilitating physiological data acquisition includes scheduling a medical appointment between a patient and a medical provider. The medical appointment is to be conducted at a medical provider location on an appointment date. The method also includes selecting a medical device configured to acquire physiological data regarding the patient. The method further includes sending, to a fulfillment system, a request to provide the medical device to a patient location prior to the appointment date. The patient location is remote from the medical provider location.

Systems and methods for facilitating physiological data collection prior to appointment

A system for detecting a type of stroke includes a processing circuit. The processing circuit is configured to receive heart data regarding a heart rhythm of a patient and physiological data regarding a physiological characteristic of the patient. The heart data is indicative of an occurrence of atrial fibrillation and the physiological data is indicative of an occurrence of a stroke. The processing circuit is further configured to determine a likelihood that the stroke was an embolic stroke based on the heart data and to provide an output including an indication of the likelihood that the stroke was an embolic stroke.

Systems and methods for detecting strokes

Systems, methods, computer-readable storage mediums including computer-readable instructions and/or circuitry for control of transmission to a target device with communicating with one or more sensors in an ad-hoc sensor network may implement operations including, but not limited to: generating electrical power from at least one ambient source via at least one structurally integrated electromagnetic transducer; powering at least one transmitter via the electrical power to wirelessly transmit one or more sensor operation activation signals to one or more sensors; and at least one of powering one or more sensing operations of one or more sensors via the electrical power or charging one or more power storage devices electrically coupled to the one or more sensors via the electrical power.

Ad hoc wireless sensor package

A privacy preserving sensor apparatus is described herein. The privacy preserving sensor apparatus includes a microphone that is configured to output a signal that is indicative of audio in an environment. The privacy preserving sensor apparatus further includes feature extraction circuitry integrated in the apparatus with the microphone, the feature extraction circuitry configured to extract features from the signal output by the microphone that are usable to detect occurrence of an event in the environment, wherein the signal output by the microphone is unable to be reconstructed based solely upon the features.

Privacy preserving sensor apparatus

A computing system is provided. The computing system includes an electronic personal assistant application server configured to determine a target location for a selected user and time, determine a group of other registered users who are or will be physically present at the target location at or around the predetermined time, determine group health data representing a health condition of the group of other registered users, the group health data being determined based on anonymous medical records statistics for the group of other registered users, the anonymous medical records statistics including biometric data sensed by at least one biometric sensor associated with at least one user computing device of one of the other registered users, identify a health risk level for the target location using the group health data, and generate an activity warning for the target location based on the health risk level.

Computing system for identifying health risk regions

Growing community of inventors

Pittsburgh, PA, United States of America

Desney S Tan