The various embodiments of the method of the present invention include a method to improving or expanding the capacity of a sleep analysis unit or laboratory, a method sleep analysis testing a patient admitted for diagnosis or treatment of another primary medical condition while being treated or diagnosed for that condition, a method of sleep analysis testing a patient that cannot be easily moved or treated in a sleep analysis unit or laboratory and other like methods.

An intraoral multisensor device includes a mouthpiece, a plurality of sensors at least one of attached to or integrated with the mouthpiece, and a data communications unit configured to receive signals from the plurality of sensors. The mouthpiece has a form to permit stable arrangement at least partially within a person's mouth such that it can remain for hands-free sensing of a plurality of biological parameters. Also, an intraoral multisensor system includes an intraoral multisensor device and a data processing device adapted to communicate with the intraoral multisensor device.

An intraoral multisensor device includes a mouthpiece, a plurality of sensors at least one of attached to or integrated with the mouthpiece, and a data communications unit configured to receive signals from the plurality of sensors. The mouthpiece has a form to permit stable arrangement at least partially within a person's mouth such that it can remain for hands-free sensing of a plurality of biological parameters. Also, an intraoral multisensor system includes an intraoral multisensor device and a data processing device adapted to communicate with the intraoral multisensor device.

Systems, processes and devices for real-time brain monitoring for epileptic spasms and hypsarrhythmia or electrodecremental events to generate and control an interface of a display device with a visual representation of a Brain Value Index for epileptic spasms and hypsarrhythmia or electrodecremental events, a connectivity map and treatment guidance. Systems, processes and devices for real-time brain monitoring capture sensor data, process the data and dynamically update the interface in real-time.

Systems, processes and devices for real-time brain monitoring for epileptic spasms and hypsarrhythmia or electrodecremental events to generate and control an interface of a display device with a visual representation of a Brain Value Index for epileptic spasms and hypsarrhythmia or electrodecremental events, a connectivity map and treatment guidance. Systems, processes and devices for real-time brain monitoring capture sensor data, process the data and dynamically update the interface in real-time.

There is described a computer-implemented method for measurement of a level of anxiety combined with and/or correlated with a level of a modified state of consciousness and/or a level of pain. There is received measured data comprising BEG data. From the EEG data there is extracted a group (8) indicator based on a power, P-power (dt), associated with a delta-theta frequency band, dt, within a delta-theta frequency range. From the EEG data there is further extracted a group (1) indicator based on, a power, F-power(dt), associated with a delta-theta frequency band, dt, within a delta-theta frequency range; and/or a group (4) indicator corresponding to a power, power (ta), associated with a theta-alpha frequency band, ta, within a theta-alpha frequency range. There is e determined, based on said group (8) indicator, a level of anxiety. There is further determined, based on said group (1) indicator, a depth of state, DoS, and/or, based on said group (4) indicator, and optionally said group (3) indicator and/or group (5) indicator, a level of pain. A correlation based on a plurality of LoA, LoP and/or DoS measurements can then be determined.

There is described a computer-implemented method for measurement of a level of anxiety combined with and/or correlated with a level of a modified state of consciousness and/or a level of pain. There is received measured data comprising BEG data. From the EEG data there is extracted a group (8) indicator based on a power, P-power (dt), associated with a delta-theta frequency band, dt, within a delta-theta frequency range. From the EEG data there is further extracted a group (1) indicator based on, a power, F-power(dt), associated with a delta-theta frequency band, dt, within a delta-theta frequency range; and/or a group (4) indicator corresponding to a power, power (ta), associated with a theta-alpha frequency band, ta, within a theta-alpha frequency range. There is e determined, based on said group (8) indicator, a level of anxiety. There is further determined, based on said group (1) indicator, a depth of state, DoS, and/or, based on said group (4) indicator, and optionally said group (3) indicator and/or group (5) indicator, a level of pain. A correlation based on a plurality of LoA, LoP and/or DoS measurements can then be determined.

A wellness evaluation system may determine, based on data generated by a first set of sensors powered by one or more batteries of one or more ear-wearable devices, that a user of the one or more ear-wearable devices is currently in an environment that includes human-directed communication signals. If so, a second set of sensors may be activated such that the one or more batteries provides an increased amount of power to the second set of sensors. Furthermore, the wellness evaluation system may determine based on data generated by the second set of sensors, whether the user has satisfied a target level of a wellness measure. If the user has not satisfied the target level of the wellness measure, the wellness evaluation system may perform an action to encourage the user to perform one or more activities to increase an achieved level of the wellness measure.

A wellness evaluation system may determine, based on data generated by a first set of sensors powered by one or more batteries of one or more ear-wearable devices, that a user of the one or more ear-wearable devices is currently in an environment that includes human-directed communication signals. If so, a second set of sensors may be activated such that the one or more batteries provides an increased amount of power to the second set of sensors. Furthermore, the wellness evaluation system may determine based on data generated by the second set of sensors, whether the user has satisfied a target level of a wellness measure. If the user has not satisfied the target level of the wellness measure, the wellness evaluation system may perform an action to encourage the user to perform one or more activities to increase an achieved level of the wellness measure.

A system and a method for recording neural signals. A neural interface system-on-chip for recoding the signals includes one or more electrodes integrated on a complimentary metal-oxide-semiconductor integrated circuit and coupled to one or more corresponding analog front end components. The analog front end components are configured to be programmable for recording one or more neural signals and to operate in at least one of the following selectable programmable modes: a voltage clamp mode and a current clamp mode. The neural interface system-on-chip also includes one or more analog to digital converter components that are coupled to the electrodes.