Bryte, Inc.

Bodymedia, Inc.

Mark Handel

Jonathan Farringdon

Ely K Tsern

John Tompane

Adam Hamel

Eric Teller

John Michael Stivoric

David Andre

Christopher D Pacione

Scott A Safier

Suresh Vishnubhatla

Raymond Pelletier

James Hanlon

Steve Menke

Eric Hsiung

Neal Spruce

Steve Shassberger

Scott Safier

Adam Hamal

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 nutrition and activity management system is disclosed that monitors energy expenditure of an individual through the use of a body-mounted sensing apparatus. The apparatus is particularly adapted for continuous wear. The system is also adaptable or applicable to measuring a number of other physiological parameters and reporting the same and derivations of such parameters. A weight management embodiment is directed to achieving an optimum or preselected energy balance between calories consumed and energy expended by the user. An adaptable computerized nutritional tracking system is utilized to obtain data regarding food consumed, Relevant and predictive feedback is provided to the user regarding the mutual effect of the user's energy expenditure, food consumption and other measured or derived or manually input physiological contextual parameters upon progress toward said goal.

System for monitoring and managing body weight and other physiological conditions including iterative and personalized planning, intervention and reporting capability

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Pittsburgh, PA, United States of America

Mark Handel