Abstract: A method includes receiving, by at least one processor, an electroencephalogram (EEG) signal from a user's brain, identifying, with the at least one processor, two peak (EEG) frequencies in a 4-6 Hz band and a 9-11 Hz band of the received signal, generating, with the at least one processor, an alternating current electrical stimulation waveform by combining sinusoids at the two identified peak EEG frequencies, and applying, with at least one electrode, the alternating current electrical stimulation waveform to the user's brain.

Abstract: Provided are systems, methods, and devices for implementation of custom sleep parameters. Methods include receiving, via a user interface, a plurality of input parameters associated with a sleep profile of a user, the plurality of input parameters representing at least one sleep profile target, generating, using one or more processors of a processing device, a plurality of sleep parameters based, at least in part, on the received plurality of input parameters, the plurality of sleep parameters representing one or more changes to one or more biomarkers of the user, and generating, using one or more processors of the processing device, a plurality of stimulation parameters based, at least in part, on the plurality of sleep parameters, the plurality of stimulation parameters representing stimuli configured to implement the identified changes for each of the identified biomarkers of the user's sleep profile.

Abstract: Provided are systems, methods, and devices for sleep intervention quality assessment. Methods include receiving measurement data from a plurality of data sources, the measurement data comprising a plurality of measurements of biological parameters of a user before and after a sleep intervention, and receiving treatment data comprising one or more treatment parameters associated with the sleep intervention. Methods further include generating, using one or more processors, a plurality of quality assessment metrics based on the received measurement data, the plurality of quality assessment metrics being generated based, at least in part, on a comparison of the plurality of measurements of biological parameters before and after the sleep intervention, and generating a report based, at least in part, on the plurality of quality assessment metrics.

Abstract: Provided are systems, methods, and devices for sleep intervention quality assessment. Methods include receiving measurement data from a plurality of data sources, the measurement data comprising a plurality of measurements of biological parameters of a user before and after a sleep intervention, and receiving treatment data comprising one or more treatment parameters associated with the sleep intervention. Methods further include generating, using one or more processors, a plurality of quality assessment metrics based on the received measurement data, the plurality of quality assessment metrics being generated based, at least in part, on a comparison of the plurality of measurements of biological parameters before and after the sleep intervention, and generating a report based, at least in part, on the plurality of quality assessment metrics.

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.

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.

Abstract: An example system to identify an advertisement to include in source material to increase an effectiveness of the advertisement includes an analyzer to determine one or more priming characteristics for a plurality of locations of a source material based on neuro-response data collected from a first subject exposed to the source material and a selector to identify an attribute of the advertisement, identify at least one of a temporal attribute or a spatial attribute for the plurality of locations, perform a comparison of the attribute of the advertisement to the at least one of the temporal attribute or the spatial attribute for the plurality of locations, select a first location of the plurality of locations for insertion of the advertisement based on the comparison and the priming characteristics, and transform the source material to include the advertisement at the first location.

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.

Abstract: Provided are systems, methods, and devices for biomarker shaping and sleep profile enhancement. 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 at least the plurality of electrodes. Systems also include a processing device comprising one or more processors configured to generate a first target sleep profile for the user based, at least in part, on the plurality of measurements and a plurality of biomarkers, the processing device being further configured to generate a plurality of stimulus parameters based, at least in part, on the target profile.

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.

Abstract: Systems, methods and devices estimate quality of sleep intervention techniques. Systems include a communications interface configured to receive measurement data from a plurality of data sources, the measurement data including a plurality of measurements of biological parameters of a user before and after a sleep intervention treatment, the communications interface being further configured to receive treatment data comprising one or more treatment parameters associated with the sleep intervention treatment. Systems also include a processing device including one or more processors configured to generate at least one sleep model for the user based on the received measurement data and treatment data, the processing device being further configured to generate a user interface based, at least in part, on the at least one sleep model. Systems also include a memory device configured to store the at least one sleep model.

Abstract: Provided are systems, methods, and devices for implementation of custom sleep parameters. Methods include receiving, via a user interface, a plurality of input parameters associated with a sleep profile of a user, the plurality of input parameters representing at least one sleep profile target, generating, using one or more processors of a processing device, a plurality of sleep parameters based, at least in part, on the received plurality of input parameters, the plurality of sleep parameters representing one or more changes to one or more biomarkers of the user, and generating, using one or more processors of the processing device, a plurality of stimulation parameters based, at least in part, on the plurality of sleep parameters, the plurality of stimulation parameters representing stimuli configured to implement the identified changes for each of the identified biomarkers of the user's sleep profile.

Abstract: Provided are systems, methods, and devices for sleep intervention quality assessment. Methods include receiving measurement data from a plurality of data sources, the measurement data comprising a plurality of measurements of biological parameters of a user before and after a sleep intervention, and receiving treatment data comprising one or more treatment parameters associated with the sleep intervention. Methods further include generating, using one or more processors, a plurality of quality assessment metrics based on the received measurement data, the plurality of quality assessment metrics being generated based, at least in part, on a comparison of the plurality of measurements of biological parameters before and after the sleep intervention, and generating a report based, at least in part, on the plurality of quality assessment metrics.

Abstract: An example system to identify an advertisement to include in source material to increase an effectiveness of the advertisement includes an analyzer to determine one or more priming characteristics for a plurality of locations of a source material based on neuro-response data collected from a first subject exposed to the source material and a selector to identify an attribute of the advertisement, identify at least one of a temporal attribute or a spatial attribute for the plurality of locations, perform a comparison of the attribute of the advertisement to the at least one of the temporal attribute or the spatial attribute for the plurality of locations, select a first location of the plurality of locations for insertion of the advertisement based on the comparison and the priming characteristics, and transform the source material to include the advertisement at the first location.