A notification control method, system, and non-transitory computer readable medium, include a state of flow detecting circuit configured to detect a state of flow of brain waves of a user from user data, a notification priority setting circuit configured to set a notification priority setting by ranking a type of a notification to be delivered to a user device according to an importance of a message associated with the notification, and a notification control circuit configured to control the notification to be output on the user device at an allowable time based on a rank of the notification priority setting being higher than a rank of the state of flow of the user.

A method of providing physiological self-regulation challenges prior to participating in a series of activities or exercises at a series of predefined locations includes determining a physiological goal associated with each location. A sensing device measures a physiological state of a user, and a mobile communication device communicates to a user whether or not the user has achieved the physiological goal for the challenge. The level of difficulty of the physiological goal may be reduced if the user does not meet the goal. The physiological goal may comprise a brain state that is conducive to learning, and the sensing device may be configured to measure brain state values representing cognitive engagement. Upon achievement of each physiological goal, the participant is provided with a reward such as information concerning the current predefined location and/or information concerning the next predefined location.

A method of providing physiological self-regulation challenges prior to participating in a series of activities or exercises at a series of predefined locations includes determining a physiological goal associated with each location. A sensing device measures a physiological state of a user, and a mobile communication device communicates to a user whether or not the user has achieved the physiological goal for the challenge. The level of difficulty of the physiological goal may be reduced if the user does not meet the goal. The physiological goal may comprise a brain state that is conducive to learning, and the sensing device may be configured to measure brain state values representing cognitive engagement. Upon achievement of each physiological goal, the participant is provided with a reward such as information concerning the current predefined location and/or information concerning the next predefined location.

A sleep testing method, a sleep testing apparatus, a sleep-aiding device, and a sleep-aiding method are described. The sleep testing method comprises: acquiring an electroencephalogram signal of a user; processing the electroencephalogram signal to obtain energy values of the electroencephalogram signal in a plurality of set frequency bands; calculating a relative energy value of the electroencephalogram signal in the plurality of set frequency bands; and determining a sleep state, mental stress and the degree of fatigue according to the relative energy value. According to the sleep testing method, the sleep state, the mental stress, and the degree of fatigue of a user can be simultaneously determined just according to an electroencephalogram signal, and a plurality of pieces of testing data related to sleep can be obtained in a single instance of testing.

A method and apparatus using brainwaves to control real objects is provided. The method and apparatus comprise using sensors to detect the brain's electrical signals and transmit at least two brainwaves to an apparatus that converts the brainwaves into a format usable by a signal processor. The signal processor determines a coherence between portions of the brainwaves, typically in the frequency domain, and compares the coherence values, which change rapidly from moment to moment, to thresholds. Based on the comparison of the coherence value to the thresholds, which are adjusted over time based on feedback relating to success, a control signal is developed that can be sent to a real object to control 3 dimensional motion of the control object.

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.

A training system, kit, and method including a weighted wearable equipment, e.g. gloves, having a sensor (e.g. accelerometers, gyroscopes, photoelectric sensors, position sensors, tilt sensors, pressure sensors, temperature sensors, blood pressure sensors, heart rate monitors, and SpO2 sensors) and including a weight enhancement (e.g. weight bodies in closed pockets); a non-weighted wearable equipment of the same type as the weighted wearable equipment, the non-weighted wearable equipment having a sensor and. not including a weight enhancement; and a training application in functional communication with each of the weighted wearable equipment and the non-weighted wearable equipment and having a data processor that includes instructions for: analyzing data received from the sensor of each of the weighted wearable equipment and the non-weighted wearable equipment and generating predictive information derived from exercise training data from the sensors.

A method and system for controlling neural activity in the brain, including performing a source localization procedure and a neurostimulation procedure, and using the former as a monitor to provide for feedback control of the latter.

A method and system for controlling neural activity in the brain, including performing a source localization procedure and a neurostimulation procedure, and using the former as a monitor to provide for feedback control of the latter.

In one embodiment, a method comprising: (a) receiving a set of physiological data associated with at least one health condition of an animal subject; (b) receiving a set of environmental data associated with one or more environment conditions to which the subject is or has been exposed; (c) determining a set of operating parameters for at least one environmental device based at least partially on at least a portion of the set of physiological data and at least a portion of the set of environmental data; and (d) transmitting the set of operating parameters to the at least one environmental device to at least partially control at least one controlled environmental condition to which the subject is exposed to thereby at partially control the at least one health condition.