Abstract: An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.

Abstract: A method and system for detecting bioelectrical signals from a user, including establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; collecting one or more reference signal datasets; collecting, at the one or more sensors, one or more bioelectrical signal datasets referenced to a combined reference signal dataset; and extracting one or more bioparameters from the one or more bioelectrical signal datasets.

Abstract: An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.

Abstract: One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

Abstract: One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

Abstract: A variation of a method for collecting and processing bioelectrical signals includes: establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; monitoring contact characteristics of the one or more sensors based on bioelectrical signals detected at the one or more sensors; and providing feedback to the user based on the contact characteristics. A variation of a system for collecting and processing bioelectrical signals includes a set of sensors (e.g., electrodes) and a processing subsystem configured process the set of bioelectrical signals.

Abstract: An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.

Abstract: One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

Abstract: A variation of a method for collecting and processing bioelectrical signals includes: establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; monitoring contact characteristics of the one or more sensors based on bioelectrical signals detected at the one or more sensors; and providing feedback to the user based on the contact characteristics. A variation of a system for collecting and processing bioelectrical signals includes a set of sensors (e.g., electrodes) and a processing subsystem configured process the set of bioelectrical signals.

Abstract: A method and system for detecting bioelectrical signals from a user, including establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; collecting one or more reference signal datasets; collecting, at the one or more sensors, one or more bioelectrical signal datasets referenced to a combined reference signal dataset; and extracting one or more bioparameters from the one or more bioelectrical signal datasets.

Abstract: An embodiment of a system for detecting and measuring biosignals preferably includes a biosignal sensor subsystem comprising a set of sensors configured to detect biosignals from the user, a sensor interface for pre-processing signals from the set of sensors and an electronics subsystem coupled to the biosignal sensor subsystem, the electronics subsystem configured to power the system and facilitate processing of biosignals detected by the system. An embodiment of a method for detecting and measuring biosignals of a user preferably includes inserting a payload into tissue of a user, navigating the payload through tissue of the user, and securing the payload to the user.

Abstract: One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

Abstract: A method of assisting a user in bringing a plurality of EEG electrodes into proper contact with the user's scalp includes receiving a signals from EEG electrodes, determining a state of contact with the user's scalp, and displaying a representation of the user's scalp and an indicator of the state of contact, the indicator positioned on the representation in a position representative of a position of an associated electrode on the user's scalp. Determining quality of contact of an electrode on a user can includes applying a reference signal to a user, receiving a measured signal from an electrode for monitoring bioelectric signals of the user, and determining a state of contact of the electrode with the user based on the measured signal and the reference signal.

Abstract: An apparatus and technique for sensing biopotential signals wherein a conductive element is formed from a non-adhesive hydrogel material and configured to provide a conductive path between an electrode and a subject's skin for transmitting EEG signals from the subject to the electrode.