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.

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.

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.

The system receives a raw signal carrying information related to slow wave activity; buffers a portion of the raw signal; determines a timing of slow wave events in the buffered portion of the raw signal; filters the raw signal; determines a timing of slow wave events in the filtered raw signal; compares the timing of the slow wave events in the buffered portion of the raw signal to the timing of the slow wave events in the filtered raw signal; determines a first correction factor associated with reducing slow wave activity in the subject and a second correction factor associated with enhancing slow wave activity in the subject; and adjusts a timing of the stimulation provided to the subject during the sleep session based on the first and/or second correction factors.

An apparatus for use in treating a neurological disorder of the auditory system, including a sound processing unit, an audio stimulation unit and a somatosensory stimulation unit. The audio stimulation unit includes an input for receiving the modified audio signal from the sound processing unit. The sound processing unit includes a processor operable to analyze an audio signal and generate a modified audio signal and a plurality of actuation signals therefrom representative of the audio signal. The somatosensory stimulation unit includes an array of stimulators to apply a somatosensory stimulation to a subject, and an input for receiving the plurality of actuation signals from the sound processing unit and directing individual actuation signals in a predetermined output for delivering an audio stimulation to the subject.

Provided is a method for enhancing cognitive function based on individual cognitive frequency resonance that intentionally and selectively enhances a specific cognitive function by resonating with brain waves through brain stimulation using an electric current of the same frequency or waveform as individual cognitive frequency generated during a cognitive task, and the method includes executing, by a subject, a cognitive task.

A dream stimulator may include a substrate and a plurality of electrodes positioned along a first side of the substrate. The stimulator also may include a stimulator coupled to the substrate. At least one lead may couple the plurality of electrodes to the stimulator. Additionally, a band may be positioned along a second side of the substrate and about each of the plurality of electrodes.

Systems, methods and devices for paired training include timing controls so that training and neural stimulation can be provided simultaneously. Paired trainings may include therapies, rehabilitation and performance enhancement training. Stimulations of nerves such as the vagus nerve that affect subcortical regions such as the nucleus basalis, locus coeruleus or amygdala induce plasticity in the brain, enhancing the effects of a variety of therapies, such as those used to treat tinnitus, stroke, traumatic brain injury and post-traumatic stress disorder.

Methods of treating a brain malfunction include obtaining a subject diagnosed with a brain malfunction and reducing EEG frequency of brainwaves in the subject by applying at least one EEG-slowing stimulus to the subject, whereby production of β-amyloid protein in the brain of the subject is reduced and progression of the brain malfunction is halted or slowed.

The present disclosure pertains to a system configured to detect slow waves in a subject during a sleep session. The system generates output signals conveying information related to brain activity of the subject. The system is configured to detect individual sleep stages of the subject, the individual sleep stages including a deep sleep stage; and, responsive to detecting the deep sleep stage, generate a harmonic representation of the output signals for a period of time during the sleep session that includes the deep sleep stage; identify two or more points of significance on the harmonic representation of the output signals; and analyze a shape of the harmonic representation of the output signals around the two or more points of significance to determine whether the shape of the harmonic representation of the output signals around the two or more points of significance corresponds to a shape of a slow wave.