Sri International

Samsung Electronics Co., Ltd.

Fiona C Baker

Massimiliano De Zambotti

Ian M Colrain

Rakesh Kumar

Glen W McLaughlin

Bhaskar S Ramamurthy

Supun Samarasekera

Mikhail Sizintsev

Glenn Murray

Laurie Menoud

Mohamad Forouzanfar

Adrian Willoughby

Aimee Goldstone

Embodiments in accordance with the present disclosure are directed to methods and apparatuses used for slow wave activity (SWA) optimization. An example method includes receiving one or more bio-signals from a user and classifying sleep stages by processing the bio-signals. The method further include determining dominant peripheral nervous system (PNS) oscillations based on the bio-signals and as a function of time and stage of sleep, and characterizing at least one property of the dominant PNS oscillations, including a phase, a phase shift, an amplitude, and/or frequency. The method further include providing an indication of an optimal window for maximizing SWA generation based on the phase, the phase shift, the amplitude, or the frequency. The indication is provided to stimulation circuitry that delivers stimulation to the user within the optimal window. Feedback is provided responsive to the stimulation based on an EEG signal of the user.

Slow wave activity optimization based on dominant peripheral nervous system oscillations

Embodiments in accordance with the present disclosure are directed to systems and methods for managing hot flashes and/or menopause symptoms. An example system includes sensor circuitry and logic circuitry. The sensor circuitry obtains a physical measurement associated with a user and communicates the physical measurement. The logic circuitry generates a predictive model that indicates a probability of the user having a hot flash at a date and time based on a plurality of input parameters, revises the probability based on the physical measurement using the predictive model, and communicates data indicative of an action in response to the revised probability being outside a threshold, such as providing cooling relief.

Systems and methods involving predictive modeling of hot flashes

A restorative health and wellness system that provides an immersive environment is provided herein. In some embodiments, the system includes one or more sensors configured to measure physiological properties of an individual and/or the properties of the individual's surroundings, one or more actuators configured to create the immersive environment for the individual, a control loop module configured to receive and analyze input from the one or more sensors, and to provide information to the actuators to create the immersive environment for the individual, wherein the one or more actuators dynamically create or adjust the immersive environment based on at least one of (A) the physiological properties measured or (B) the properties of the individual's surroundings, and at least one of (A) a pre-determined individual priority balance set for the individual or (B) an optimized set of parameters determined through advanced analytic techniques.

Immersive system for restorative health and wellness

Biofeedback virtual reality sleep assistant technologies monitor one or more physiological parameters while presenting an immersive environment. The presentation of the immersive environment changes over time in response to changes in the values of the physiological parameters. The changes in the presentation of the immersive environment are configured using biofeedback technology and are designed to promote sleep.

Biofeedback virtual reality sleep assistant

Growing community of inventors

San Jose, CA, United States of America

Fiona C Baker