Bodymedia, Inc.

Koninklijke Philips Corporation N.v.

Bryte, Inc.

Other

U.S. Philips Corporation

Jonathan Farringdon

Eric Teller

John Michael Stivoric

David Andre

Christopher D Pacione

Suresh Vishnubhatla

Raymond Pelletier

Scott A Safier

Scott Klaus Boehmke

Christopher D Kasabach

Ely K Tsern

John Tompane

James A Gasbarro

Paul Arthur Gough

Richard Tompane

William Burnett

Mark Handel

James Hanlon

Gregory T Kovacs

Leonard H Poll

Adam Hamel

Armando S Valdes

Andrew Johnston Moore

Peter Johan Massey

Peter Tjin Sjoe Kong Tsang

Nisarg Vyas

Donna Wolf

Steve Menke

Eric Hsiung

Neal Spruce

Steve Shassberger

Matthew Walker

Scott Safier

Adam Hamal

A bed integrates sensors and other inputs to detect specific sleep environment conditions including point-specific pressure and/or temperature conditions. The bed includes a controller for commanding actuator or other devices to adjust these conditions. The controller may do so based on reference patterns for conditions and profiles of desired conditions. Information regarding the conditions may be provided to a remote computer, which may analyze the conditions and provide revised profiles of desired conditions.

Adaptive sleep system using data analytics and learning techniques to improve individual sleep conditions

A bed includes components to control temperature of a sleep surface, for example based on time and historical usage patterns by a user. In some embodiments the temperature of the sleep surface is controlled based on information indicating a sleep state of the user. In some embodiments the temperature is dynamically adjusted so to achieve particular sleep states and/or sleep patterns for the user. In some embodiments the temperature and timing of temperature adjustments is iteratively adjusted over multiple sleep sessions so to achieve improvements in sleep states and/or sleep quality for the user.

Sleep phase dependent temperature control and learning methods to optimize sleep quality

Adaptive sleep system using data analytics and learning techniques to improve individual sleep conditions based on a therapy profile

A bed includes components to control pressure of a sleep surface, for example based on sleep position and sleep stages of a user. In some embodiments target pressures for the sleep surface are iteratively adjusted over multiple sleep sessions so to achieve improvements in sleep states and/or sleep quality for the user.

Sleep phase dependent pressure control and learning methods to optimize sleep quality

A bed includes environmental control components, which may be temperature control components and pressure adjustment components in some embodiments. The environmental control components may be configured to provide different sleep environments based on identity of sleepers using or expected to use the bed. A controller may determine a number of sleepers for the bed, identify the sleepers, and determine if there is an expectation of later arrival of sleeper in determining a configuration for the environmental control components in providing a sleep environment for the bed.

Sleeper detection and configuration of sleep environments and learning methods to optimize sleep quality

A device that creates visible light in space comprises of a light source and optics system that result in irradiated visible spectrum light rays with a low intensity such that the light is not visible by the normal observer. Multiple rays of visible-spectrum low-intensity non-visible light intersect. When the constructive intensity of the intersecting light is above the threshold for being visible then light appears at that place. The light rays to and from the visible light remain non-visible. The addition of irradiated visible light results in additional visual effects. The visible light can be moved in space, and form multi-dimensional images and holograms. User and programmable controls, with communication abilities and data storage, can mediate the light source and optics to control the visible image.

Method and apparatus for forming a visible image in space

The invention comprises systems, methods, and devices capable of deriving and predicting the occurrence of a number of physiological and conditional states and events based on sensed data. The systems, methods, and devices utilize the predicted and derived states for a number of health and wellness related applications including the administering therapy and providing actionable data for lifestyle and health improvement.

Apparatus using temperature data to make predictions about an individual

Various methods and apparatuses for measuring a state parameter of an individual using signals based on one or more sensors are disclosed. In one embodiment, a first set of signals is used in a first function to determine how a second set of signals is used in one or more second functions to predict the state parameter. In another embodiment, first and second functions are used where the state parameter or an indicator of the state parameter may be obtained from a relationship between the first function and the second function. The state parameter may, for example, include calories consumed or calories burned by the individual. Various methods for making such apparatuses are also disclosed.

Method and apparatus for identifying and reporting a physiological condition of an individual utilizing physiological and contextual parameters

Method and apparatus for deriving and reporting a physiological status of an individual utilizing physiological parameters and user input

Method and apparatus for deriving and reporting a physiological status of an individual utilizing physiological and contextual parameters

Systems and methods for non-invasively determining parameters related to blood glucose are disclosed. Embodiments are disclosed wherein a wearable sensor device comprises non-invasive sensors generating various sensed data which is then utilized to determine a glucose-related parameter.

Apparatus for providing derived glucose information utilizing non-invasive physiological sensors

Method and apparatus for deriving and reporting the thermic effect of food and calories consumed for an individual utilizing physiological parameters

A monitoring apparatus that includes a sensor device and an I/O device in communication with the sensor device that generates derived data using the data from the sensor device. The derived data cannot be directly detected by the associated sensors. Alternatively, an apparatus that includes a wearable sensor device and an I/O device in communication with the sensor device that includes means for displaying information and a dial for entering information. Alternatively, an apparatus for tracking caloric consumption and caloric expenditure data that includes a sensor device and an I/O device in communication with the sensor device. The sensor device includes a processor programmed to generate data relating to caloric expenditure from sensor data. Alternatively, an apparatus for tracking caloric information for an individual that utilizes a plurality of classification identifiers for classifying meals consumed by the individual, each of the classification identifiers having a corresponding caloric amount.

Device utilizing data of a user's context or activity to determine the user's caloric consumption or expenditure

Growing community of inventors

Pittsburgh, PA, United States of America

Jonathan Farringdon