Systems and methods for managing power and data usage in a mobile electronic communications device entail detecting a sleep state of a user of the device, and entering an idle mode when the sleep state of the user is deep sleep, wherein the idle mode restricts device CPU and network activities to exclude user-centric operations. When the sleep state of the user changes from the deep sleep state, the device exits the idle mode and enters an operative state to execute any pending user-centric operations.

A system and method for identifying individuals that compatibly contribute to high-performing teams is disclosed. Teams may range in size and complexity from a two-person team of roommates to many hundreds in a commercial product development team. Candidates for new or existing teams are identified by matching brainwave response of candidates to the brainwave signature of high-performing, compatible teams. The stimuli of stimulus datasets are rapidly presented to candidates and sensed by any of the five human senses. The signature of a team type is a set of brainwave response characteristics extracted from one or more high-performing, compatible exemplar teams presented with the stimulus dataset and is also distinctly different from other team types or the general population. Closeness of fit between a candidate's brainwave response and the signature of the exemplar team provides an indication of the likely compatible fit and contribution of a candidate to a high-performing team.

A system and method for identifying individuals that compatibly contribute to high-performing teams is disclosed. Teams may range in size and complexity from a two-person team of roommates to many hundreds in a commercial product development team. Candidates for new or existing teams are identified by matching brainwave response of candidates to the brainwave signature of high-performing, compatible teams. The stimuli of stimulus datasets are rapidly presented to candidates and sensed by any of the five human senses. The signature of a team type is a set of brainwave response characteristics extracted from one or more high-performing, compatible exemplar teams presented with the stimulus dataset and is also distinctly different from other team types or the general population. Closeness of fit between a candidate's brainwave response and the signature of the exemplar team provides an indication of the likely compatible fit and contribution of a candidate to a high-performing team.

A method and an apparatus for classifying an electroencephalogram signal, a device and a computer-readable storage medium. The method includes: obtaining an electroencephalogram signal; performing feature extraction on the electroencephalogram signal to obtain a signal feature corresponding to the electroencephalogram signal; obtaining a difference distribution ratio, the difference distribution ratio being used for representing impacts of difference distributions of different types on distributions of the signal feature and a source domain feature in a feature domain, the source domain feature being a feature corresponding to a source domain electroencephalogram signal; aligning the signal feature with the source domain feature according to the difference distribution ratio to obtain an aligned signal feature; and classifying the aligned signal feature to obtain a motor imagery type corresponding to the electroencephalogram signal.

A method and an apparatus for classifying an electroencephalogram signal, a device and a computer-readable storage medium. The method includes: obtaining an electroencephalogram signal; performing feature extraction on the electroencephalogram signal to obtain a signal feature corresponding to the electroencephalogram signal; obtaining a difference distribution ratio, the difference distribution ratio being used for representing impacts of difference distributions of different types on distributions of the signal feature and a source domain feature in a feature domain, the source domain feature being a feature corresponding to a source domain electroencephalogram signal; aligning the signal feature with the source domain feature according to the difference distribution ratio to obtain an aligned signal feature; and classifying the aligned signal feature to obtain a motor imagery type corresponding to the electroencephalogram signal.

Novel tools and techniques for assessing, predicting and/or estimating effectiveness of fluid resuscitation of a patient and/or an amount of fluid needed for effective resuscitation of the patient, in some cases, noninvasively.

Embodiments herein relate to ear-worn devices and, more specifically, ear-worn devices that can measure reaction and/or reflex speeds. An ear-worn device herein can include a control circuit, a clock circuit in electrical communication with the control circuit, a motion sensor in electrical communication with the control circuit, an electroacoustic transducer for generating sound in electrical communication with the control circuit, and a power supply circuit in electrical communication with the control circuit. The ear-worn device can be configured to initiate generation of a stimulus sufficient to generate a response from the ear-worn device wearer. The ear-worn device can be configured to monitor for a qualified response to the stimulus and measure an amount of time between the stimulus and the qualified response. Other embodiments are also included herein.

Disclosed is a neurofeedback device, including a body attached to a user's body and configured to provide electrical stimulation to a vagus nerve region, wherein the body includes: a frame provided in a symmetrical and elliptical shape, wherein one side and another side in a longitudinal direction are concavely recessed toward a center, and attached to a user's neck; a vagus nerve stimulator located on a back surface of the frame, provided to include a plurality of electrodes for providing electrical stimulation to the vagus nerve region, and attached to skin directly above the vagus nerve region located next to carotid artery of the user; a heart rate sensor located at a center of left and right symmetry of the frame on a back surface of the frame and configured to detect heart rates of the user; a manipulator located in front of the frame and configured to receive a user's command; and a plurality of connection ports formed on a side surface of the frame to transmit and receive signals, wherein the plural electrodes of the vagus nerve stimulator are provided one by one on left and right sides in the symmetrical structure of the frame and, when the frame is attached to the user's skin, are disposed perpendicular to a direction of the vagus nerve.

Disclosed is a neurofeedback device, including a body attached to a user's body and configured to provide electrical stimulation to a vagus nerve region, wherein the body includes: a frame provided in a symmetrical and elliptical shape, wherein one side and another side in a longitudinal direction are concavely recessed toward a center, and attached to a user's neck; a vagus nerve stimulator located on a back surface of the frame, provided to include a plurality of electrodes for providing electrical stimulation to the vagus nerve region, and attached to skin directly above the vagus nerve region located next to carotid artery of the user; a heart rate sensor located at a center of left and right symmetry of the frame on a back surface of the frame and configured to detect heart rates of the user; a manipulator located in front of the frame and configured to receive a user's command; and a plurality of connection ports formed on a side surface of the frame to transmit and receive signals, wherein the plural electrodes of the vagus nerve stimulator are provided one by one on left and right sides in the symmetrical structure of the frame and, when the frame is attached to the user's skin, are disposed perpendicular to a direction of the vagus nerve.

An endoscopic examination supporting apparatus includes at least one processor including hardware. The processor acquires insertion shape information indicating an insertion shape of an insertion section of an endoscope inserted into a subject, evaluates, based on the insertion shape information, a procedure including inserting operation for the insertion section performed by a user who operates the endoscope during an endoscopic examination, and generates procedure evaluation information.