Systems, methods, and devices for measurement, identification, and generation of sleep state models
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Abstract
Provided are systems, methods, and devices for measurement, identification, and generation of sleep state models. Systems include a plurality of electrodes configured to be coupled to a brain of a user and configured to obtain a plurality of measurements from the brain of the user, and an interface configured to obtain the plurality of measurements from the plurality of electrodes. Systems include a processing device comprising one or more processors configured to generate a sleep state model associated with the user, the sleep state model identifying characteristics of a plurality of sleep stages, and further identifying characteristics of transitions between the plurality of sleep stages. Systems include a controller comprising one or more processors configured to generate a control signal based on the sleep state model and the plurality of measurements.
Core Innovation
The invention relates to systems, methods, and devices for sleep enhancement using a brain interface that includes a plurality of electrodes configured to obtain a plurality of measurements from the brain of a user. The interface provides measurements to one or more processors that generate a sleep state model associated with the user, the sleep state model identifying characteristics of a plurality of sleep stages and characteristics of transitions between the plurality of sleep stages.
Based on the sleep state model and the plurality of measurements, the one or more processors generate a control signal configured to initiate a change in a current sleep stage of the user via application of first electrical stimuli to the brain. The transitions between the plurality of sleep stages include a transition from the current sleep stage to a second sleep stage, where the current sleep stage comprises one of N1, N2, N3, or REM sleep stages.
The control signal is further configured to apply additional electrical stimuli to the brain in response to determining that the user is beginning the transition from the current sleep stage to the second sleep stage. The disclosure describes a closed-loop architecture in which feedback control uses the model and measurements to select stimulation responses during sleep stage transitions.
Claims Coverage
The partial content provides three independent claims: a system, a device, and a method. Across the independent claims, the inventive features focus on generating a sleep state model that characterizes sleep stages and transitions, and generating a control signal that applies electrical stimuli to initiate and adapt changes in a current sleep stage, including additional stimuli when a transition begins.
Sleep-state modeling from brain measurements with stage-transition characterization
generate a sleep state model associated with the user, the sleep state model identifying characteristics of a plurality of sleep stages, and further identifying characteristics of transitions between the plurality of sleep stages
Closed-loop control signal to initiate a sleep stage change using electrical stimuli
generate a control signal based on the sleep state model and the plurality of measurements, wherein the control signal is configured to initiate a change in a current sleep stage of the user via application of first electrical stimuli to the brain
Transition-triggered additional electrical stimuli during a detected stage transition
in response to determining that the user is beginning the transition from the current sleep stage to the second sleep stage, apply additional electrical stimuli to the brain
The independent claims collectively require obtaining brain measurements via an electrode-enabled interface, generating a sleep state model that identifies sleep-stage and transition characteristics, and producing a control signal that initiates a sleep-stage change using electrical stimuli, with additional electrical stimuli applied when transition onset is detected.
Stated Advantages
Enables closed-loop sleep enhancement by using the sleep state model and measurements to produce control signals that shift the user between sleep stages.
Documented Applications
Sleep enhancement using a brain interface with electrodes and a sleep state model with closed-loop control based on measured sleep stage transitions.
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