Systems, methods, and devices for custom sleep age implementation
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Publication Number
US-12260949-B2
Publication Date
2025-03-25
Expiration Date
Abstract
Provided are systems, methods, and devices for implementation of custom sleep age profiles. Methods include generating at least one sleep model based, at least in part, on reference data, the at least one sleep model being configured to identify an estimated sleep age based on an input. Methods further include receiving measurement data comprising data values representing measurements of neural activity of at least one user, and generating an estimated sleep age of the at least one user based, at least in part, on the at least one sleep model and the received measurement data. Methods also include generating a plurality of stimulation parameters based, at least in part, on the estimated sleep age, the plurality of stimulation parameters being configured to modify the estimated sleep age of the at least one user.
Core Innovation
The disclosed approach generates an estimated sleep age of at least one user by receiving measurement data comprising data values representing measurements of neural activity and using at least one sleep model. The at least one sleep model is generated based, at least in part, on reference data and is configured to identify an estimated sleep age based on an input, together with the received measurement data. The method then generates a plurality of stimulation parameters configured to modify the estimated sleep age, and applies a stimulus to a brain of the at least one user based on the generated plurality of stimulation parameters.
Reference data supports generating the sleep model, and the sleep model is configured to identify the estimated sleep age using a data structure that maps received measurement data to one of multiple estimated sleep ages. In some implementations, generating the estimated sleep age uses a plurality of performance metrics, including sleep onset latency, biometrics variability, and relative percentages of sleep stages.
Modification of the estimated sleep age can be narrowed to changing the at least one user’s sleep age to a target sleep age. The plurality of stimulation parameters can include multi-modal stimulation, where the multi-modal stimulation includes at least two types selected from electrical, magnetic, optical, tactile, visual, and auditory stimuli. An additional pathway includes generating an estimated wake age via a wake model, and modifying by using the modeled wake age in an analogous manner.
Claims Coverage
The document includes three independent claims that cover a method, a system, and a device. Across these independent claims, there are core inventive features centered on generating an estimated sleep age from neural activity using a sleep model based on reference data, then generating stimulation parameters to modify that estimated sleep age and applying a stimulus to the brain. Additional refinements include mapping measurement data to discrete estimated sleep-age outputs, deriving the estimate from performance metrics, targeting a target sleep age, multi-modal stimulation types, and extending to an estimated wake age via a wake model.
Generating a sleep model to identify estimated sleep age from reference data and input
Generating, using one or more processors, at least one sleep model based, at least in part, on reference data, the at least one sleep model being configured to identify an estimated sleep age of at least one user based on an input.
Generating estimated sleep age from neural activity measurement data using the sleep model
Generating, using the one or more processors, the estimated sleep age of the at least one user based, at least in part, on the at least one sleep model and the received measurement data comprising data values representing measurements of neural activity of the at least one user.
Generating stimulation parameters to modify estimated sleep age and applying a stimulus to the brain
Generating, using the one or more processors, a plurality of stimulation parameters based, at least in part, on the estimated sleep age, the plurality of stimulation parameters being configured to modify the estimated sleep age of the at least one user; and applying a stimulus to a brain of the at least one user based on the generated plurality of stimulation parameters.
Communications interface receiving neural-activity measurement data and applying stimulus based on stimulation parameters
A communications interface configured to receive measurement data comprising data values representing measurements of neural activity of at least one user; and further configured to apply a stimulus to a brain of the at least one user based on the generated plurality of stimulation parameters.
Processing device generating sleep model, estimated sleep age, and stimulation parameters using reference data
A processing device configured to generate at least one sleep model based, at least in part, on reference data, the at least one sleep model being configured to identify an estimated sleep age of the at least one user based on an input; generate the estimated sleep age based, at least in part, on the at least one sleep model and the received measurement data; and generate a plurality of stimulation parameters based, at least in part, on the estimated sleep age, the plurality of stimulation parameters being configured to modify the estimated sleep age of the at least one user.
Storing sleep model and stimulation parameters in memory
A memory device configured to store the at least one sleep model and the plurality of stimulation parameters.
Device implementing sleep model estimation and stimulus application using communications interface
A device comprising a communications interface configured to receive measurement data comprising data values representing measurements of neural activity of at least one user; and one or more processors configured to generate at least one sleep model based, at least in part, on reference data to identify an estimated sleep age of the at least one user based on an input, generate the estimated sleep age based, at least in part, on the sleep model and the received measurement data, generate a plurality of stimulation parameters based, at least in part, on the estimated sleep age to modify the estimated sleep age, and wherein the communications interface is further configured to apply a stimulus to a brain of the at least one user based on the generated plurality of stimulation parameters.
Across the independent claims, the invention is directed to estimating a user’s sleep age from neural activity using a sleep model generated from reference data and an input, then generating stimulation parameters based on the estimated sleep age to modify that estimated sleep age, and applying a stimulus to the brain accordingly. The claim set further supports refinements including discrete mapping of measurement data to multiple estimated sleep ages, estimating sleep age from performance metrics, modifying toward a target sleep age, multi-modal stimulation types, and extending to estimated wake age using a wake model.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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