An illustrative system includes a brain interface system configured to be worn by a user and to output brain activity data associated with the user; a sleep tracking device configured to be worn by the user and to output sleep tracking data associated with the user; and a computing device configured to generate, based on the brain activity data and the sleep tracking data, sleep routine data representative of a target sleep routine for the user.

A non-invasive self-autonomous system and method of optimizing a lifestyle regimen of a person containing a combination of lifestyle variables is provided. At least one value of the combination of lifestyle variables is repeatedly modified, thereby creating different variations of the combination of lifestyle variables respectively having different sets of values. The different variations of the combination of lifestyle variables are sequentially administered to the person. Physiological activity of the person is detected in response to the administration of the combination of lifestyle variables to the person. Sets of qualitative indicators of an aspect of a lifestyle of the person are derived from the detected physiological activity of the person. The lifestyle regimen of the person is optimized based on the different variations of the combination of lifestyle variables and the derived sets of qualitative indicators.

Methods and apparatus are described for synchronizing a stimulus with EEG data for research and clinical and consumer applications using EEG and ECG devices. An input/output adapter for stimulus timing includes an adapter input port for receiving an encoded audio file played from an audio output device. The audio file has a first channel carrying trigger data and a second channel carrying stimulus data. The adapter is configured to separate the encoded audio file into its first and second channels; read the trigger data in the first channel and generate a trigger signal for delivery to an EEG data logger; and read the stimulus data in the second channel and generate an auditory signal for delivery to an audio playback device. Timing errors in regard to stimulus onsets are addressed by the synchronized transmission of the trigger signal and auditory signal.

The disclosure provides a method and an apparatus for determining a quality grade of video data, and relates to the field of data processing technologies, wherein the method includes: acquiring a plurality of initial EEG data; based on the plurality of initial EEG data, determining an initial EEG data set, wherein the initial EEG data set includes a first sub-data set and a second sub-data set, the first sub-data set is a data set built on the basis of emotional response electroencephalogram data, and the second sub-data set is a data set built on the basis of electroencephalogram emotion data; processing the first sub-data set and the second sub-data set by using a transfer learning algorithm to obtain a third sub-data set and a fourth sub-data set; and based on the third sub-data set and the fourth sub-data set, determining a quality evaluation grade of video data with degraded quality.

The disclosure provides a method and an apparatus for determining a quality grade of video data, and relates to the field of data processing technologies, wherein the method includes: acquiring a plurality of initial EEG data; based on the plurality of initial EEG data, determining an initial EEG data set, wherein the initial EEG data set includes a first sub-data set and a second sub-data set, the first sub-data set is a data set built on the basis of emotional response electroencephalogram data, and the second sub-data set is a data set built on the basis of electroencephalogram emotion data; processing the first sub-data set and the second sub-data set by using a transfer learning algorithm to obtain a third sub-data set and a fourth sub-data set; and based on the third sub-data set and the fourth sub-data set, determining a quality evaluation grade of video data with degraded quality.

Devices, systems, and techniques are described for detecting stroke or seizure with a compact system. For example, a system includes a memory, a plurality of electrodes, and sensing circuitry configured to sense, via at least two electrodes of the plurality of electrodes, electrical signals from a patient, and generate, based on the electrical signals, physiological information. The system may also include processing circuitry configured to receive, from the sensing circuitry, the physiological information, determine, based on the physiological information, a seizure metric indicative of a seizure status of the patient and a stroke metric indicative of a stroke status of the patient, and store the seizure metric and the stroke metric in the memory. A housing may carry the plurality of electrodes and contain both of the sensing circuitry and the processing circuitry.

In some examples, a device includes at least three electrodes a first pair of electrodes and a second pair of electrodes. The device also includes circuitry configured to generate a first cardiac signal based on a first differential signal received across the first pair, generate a first brain signal based on the first differential signal received across the first pair, generate a second cardiac signal based on a second differential signal received across the second pair, and generate a second brain signal based on the second differential signal received across the second pair. The circuitry is also configured to output a composite cardiac signal based on the first cardiac signal and the second cardiac signal and to output a composite brain signal based on the first brain signal and the second brain signal.

A module for a brain-computer interface includes means for measuring neuronal activity in at least a portion of a population of neurons; means for stimulating at least the portion of the population of neurons; and means for local processing adapted to pre-analyze measured neuronal activity. A hub for a brain-computer interface includes means for powering a for the brain-computer interface by an alternating current (AC), wherein a charge transmitted in a cycle of the AC is below a tissue-damage threshold. A brain-computer interface comprises the module and the hub. A method for interfacing a brain and a computer includes measuring neuronal activity in at least a portion of a population of neurons; pre-analyzing, locally at a module for measuring and stimulating the portion of the population of neurons, measured neuronal activity; and receiving, at a hub for the brain-computer interface, a pre-analysis of the measured neuronal activity.

Systems and methods for providing a computer-generated visualization of EEG data are disclosed. Raw EEG data generated from a multi-channel EEG headset (or other device) may be received. The EEG data may be run through a fast Fourier transform (FFT) to separate out various frequency components in each channel, isolating the brain wave components for each channel. A visual display may be generated based on the isolated components comprising a first display portion and a second display portion. The first display portion may comprise a geometrical mesh with predefined parameters representing the portions of a crystal. The second display portion may comprise a time-varying color visualization based on the variance of the brain waves. A composite computer display in which the first display portion is overlaid over the second display portion may be generated and provided via a display device.

Systems and methods for providing a computer-generated visualization of EEG data are disclosed. Raw EEG data generated from a multi-channel EEG headset (or other device) may be received. The EEG data may be run through a fast Fourier transform (FFT) to separate out various frequency components in each channel, isolating the brain wave components for each channel. A visual display may be generated based on the isolated components comprising a first display portion and a second display portion. The first display portion may comprise a geometrical mesh with predefined parameters representing the portions of a crystal. The second display portion may comprise a time-varying color visualization based on the variance of the brain waves. A composite computer display in which the first display portion is overlaid over the second display portion may be generated and provided via a display device.