Abstract: Systems and methods for managing sleep quality of a patient, comprising: collecting physiological signal data of the patient using a data acquisition unit electrically coupled to at least one sensor affixed to the patient that generates the physiologic signal data; using one or more hardware processors executing instructions stored in a storage device: filtering the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms; and characterizing an etiology of sleep quality of the patient based on a comparison of at least a first power spectra waveform of the plurality of power spectra waveforms against at least a second power spectra waveform of the plurality of power spectra waveforms, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.

Abstract: Systems and methods for managing sleep quality of a patient, comprising: collecting physiological signal data of the patient using a data acquisition unit electrically coupled to at least one sensor affixed to the patient that generates the physiologic signal data; using one or more hardware processors executing instructions stored in a storage device: filtering the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms; and characterizing an etiology of sleep quality of the patient based on a comparison of at least a first power spectra waveform of the plurality of power spectra waveforms against at least a second power spectra waveform of the plurality of power spectra waveforms, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.

Abstract: Systems and methods for assessing compliance with position therapy. In an embodiment, position therapy is provided to a user while the user is wearing a position therapy device. The position therapy comprises, by the device, collecting positional data, determining positions of the user over a time period based on the positional data, and, when it is determined that the user is in a target position, providing feedback to the user to influence the user to change to a non-target position. In addition, the device stores a duration of use in its memory. The duration of use indicates a duration that the user has used the wearable position therapy device in each of one or more positions. An assessment of the user's compliance with the position therapy is then provided based, at least in part, on the duration of use.

Abstract: Systems and methods for assessing compliance with position therapy. In an embodiment, position therapy is provided to a user while the user is wearing a position therapy device. The position therapy comprises, by the device, collecting positional data, determining positions of the user over a time period based on the positional data, and, when it is determined that the user is in a target position, providing feedback to the user to influence the user to change to a non-target position. In addition, the device stores a duration of use in its memory. The duration of use indicates a duration that the user has used the wearable position therapy device in each of one or more positions. An assessment of the user's compliance with the position therapy is then provided based, at least in part, on the duration of use.

Abstract: Systems and methods for managing sleep quality of a patient, comprising: collecting physiological signal data of the patient using a data acquisition unit electrically coupled to at least one sensor affixed to the patient that generates the physiologic signal data; using one or more hardware processors executing instructions stored in a storage device: filtering the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms; and characterizing an etiology of sleep quality of the patient based on a comparison of at least a first power spectra waveform of the plurality of power spectra waveforms against at least a second power spectra waveform of the plurality of power spectra waveforms, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.

Abstract: Systems and methods for managing sleep quality of a patient, comprising: collecting physiological signal data of the patient using a data acquisition unit electrically coupled to at least one sensor affixed to the patient that generates the physiologic signal data; using one or more hardware processors executing instructions stored in a storage device: filtering the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms; and characterizing an etiology of sleep quality of the patient based on a comparison of at least a first power spectra waveform of the plurality of power spectra waveforms against at least a second power spectra waveform of the plurality of power spectra waveforms, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.

Abstract: Systems and methods for assessing compliance with position therapy. In an embodiment, position therapy is provided to a user while the user is wearing a position therapy device. The position therapy comprises, by the device, collecting positional data, determining positions of the user over a time period based on the positional data, and, when it is determined that the user is in a target position, providing feedback to the user to influence the user to change to a non-target position. In addition, the device stores a duration of use in its memory. The duration of use indicates a duration that the user has used the wearable position therapy device in each of one or more positions. An assessment of the user's compliance with the position therapy is then provided based, at least in part, on the duration of use.

Abstract: Systems and methods for assessing compliance with position therapy. In an embodiment, position therapy is provided to a user while the user is wearing a position therapy device. The position therapy comprises, by the device, collecting positional data, determining positions of the user over a time period based on the positional data, and, when it is determined that the user is in a target position, providing feedback to the user to influence the user to change to a non-target position. In addition, the device stores a duration of use in its memory. The duration of use indicates a duration that the user has used the wearable position therapy device in each of one or more positions. An assessment of the user's compliance with the position therapy is then provided based, at least in part, on the duration of use.

Abstract: Systems and methods for managing sleep quality of a patient, comprising: collecting physiological signal data of the patient using a data acquisition unit electrically coupled to at least one sensor affixed to the patient that generates the physiologic signal data; using one or more hardware processors executing instructions stored in a storage device: filtering the physiological signal data into a plurality of frequency bands corresponding to a plurality of power spectra waveforms; and characterizing an etiology of sleep quality of the patient based on a comparison of at least a first power spectra waveform of the plurality of power spectra waveforms against at least a second power spectra waveform of the plurality of power spectra waveforms, wherein the sleep quality of the patient is managed based on the characterized etiology of sleep.

Abstract: Techniques for monitoring neurophysiologic indicators of the members of a team while performing one or more collaborative tasks, for analyzing the collected neurophysiologic data and environmental data, for generating feedback, and for generating assessments of the performance of the team based on the collected data are provided. Feedback can be created based on the assessments of the team performance. Assessments of team performance can be performed in real time and feedback can also be provided in real time. In other embodiments, feedback can be provided to team members and/or the team as a whole after training exercise and/or simulation has been completed.

Abstract: Adaptive performance trainer for guiding a user toward a psychophysiological state. In an embodiment, psychophysiological signal data is received from one or more sensors, and a current psychophysiological state of a user is determined based on the psychophysiological signal data. The current psychophysiological state is compared to one or more goal states, and one or more control signals are generated based on a difference between the current psychophysiological state and the one or more goal states. The control signal(s) cause one or more feedback devices to generate feedback to guide the user toward the one or more goal states. The feedback may comprise an indication to the user of the current psychophysiological state at a pace that replicates the user's heartbeat.

Abstract: Sleep mask for reducing sleep inertia. In an embodiment, the sleep mask comprises a foam layer having a shape that covers both of a human subject's eyes so as to attenuate ambient light. Visual stimulation element(s), configured to emit light, are positioned between the foam layer and the subject's eyes. In addition, a plurality of sensors positioned on the forehead of the subject collect electroencephalogram (EEG), electrooculogram (EOG), and electromyogram (EMG) signals. A soft exterior cover houses the foam layer, the visual stimulation element(s), and the sensors. The sleep mask further comprises processor(s) that determine and record each sleep stage of the subject, determine when to wake the subject, and, when it is determined to wake the subject, control the visual stimulation element(s) to wake the subject using emitted light.

Abstract: Sleep mask for reducing sleep inertia. In an embodiment, the sleep mask comprises a foam layer having a shape that covers both of a human subject's eyes so as to attenuate ambient light. Visual stimulation element(s), configured to emit light, are positioned between the foam layer and the subject's eyes. In addition, a plurality of sensors positioned on the forehead of the subject collect electroencephalogram (EEG), electrooculogram (EOG), and electromyogram (EMG) signals. A soft exterior cover houses the foam layer, the visual stimulation element(s), and the sensors. The sleep mask further comprises processor(s) that determine and record each sleep stage of the subject, determine when to wake the subject, and, when it is determined to wake the subject, control the visual stimulation element(s) to wake the subject using emitted light.

Abstract: Systems and methods for optimizing sleep and post-sleep performance. In an embodiment, a system comprising a device and sleep mask are provided. The mask may comprise electroencephalographic (EEG) sensors and one or more stimulation elements configured to stimulate the senses of a wearer of the mask. The mask may be releasably and electrically coupled to a device which receives EEG signals from the mask, determines current and target sleep states based, at least in part, on the EEG signals, and uses this determination to tailor a sleep architecture of the wearer by controlling the stimulation elements. The mask may be a soft mask which utilizes conductive thread embroidered into one or more textile layers. In an embodiment, the stimulation elements may comprise one or more heating elements, electroluminescent panels, and speakers. In addition, the EEG sensors may comprise hybrid sensors comprising hydrogel in a conductive spacer fabric.

Abstract: Systems and methods for optimizing sleep and post-sleep performance. In an embodiment, a system comprising a device and sleep mask are provided. The mask may comprise electroencephalographic (EEG) sensors and one or more stimulation elements configured to stimulate the senses of a wearer of the mask. The mask may be releasably and electrically coupled to a device which receives EEG signals from the mask, determines current and target sleep states based, at least in part, on the EEG signals, and uses this determination to tailor a sleep architecture of the wearer by controlling the stimulation elements. The mask may be a soft mask which utilizes conductive thread embroidered into one or more textile layers. In an embodiment, the stimulation elements may comprise one or more heating elements, electroluminescent panels, and speakers. In addition, the EEG sensors may comprise hybrid sensors comprising hydrogel in a conductive spacer fabric.

Abstract: A dry gel-conductive sensor. In embodiments, the sensor comprises a scaffold structure which comprises a structure and a covering. A conductive material, which is both ionically and electronically conductive, may be dispersed within the structure. According to an embodiment, the covering comprises openings which allow conductive material through the covering to contact the skin of a subject. The covering may additionally or alternatively comprise brush-like features configured to penetrate through hair.

Abstract: Techniques for monitoring neurophysiologic indicators of the members of a team while performing one or more collaborative tasks, for analyzing the collected neurophysiologic data and environmental data, for generating feedback, and for generating assessments of the performance of the team based on the collected data are provided. Feedback can be created based on the assessments of the team performance. Assessments of team performance can be performed in real time and feedback can also be provided in real time. In other embodiments, feedback can be provided to team members and/or the team as a whole after training exercise and/or simulation has been completed.

Abstract: In one embodiment, a method is provided for classifying cognitive activity in an individual. In the method, a candidate time interval is identified from a first type of physiological data within which cognitive processing is expected to occur for the individual. In addition, a second type of physiological data is obtained that comprises data representative of a cognitive state of the individual. Further, the data representative of a cognitive state of the individual is extracted from the second type of physiological data based on the identified candidate time interval.

Abstract: The EEG electrode and EEG electrode locator assembly may be used in combination with an EEG electrode locator headgear including a plurality of locator straps connectable to one or more of the EEG electrode locators that form an electrode locator assembly with the EEG electrode, for accurately positioning one or more of the EEG electrodes relative to the user's scalp, and for biasing the plurality of electrodes toward the user's scalp. The EEG electrode is adapted to be received in and cooperate with an EEG electrode locator ring, to form the electrode locator assembly. The EEG electrode includes a dispenser assembly adapted to dispense an electrically conductive gel onto the user's scalp to prepare the user's scalp.

Abstract: The method for the quantification of EEG waveforms along the alertness continuum involves collecting and transforming EEG signal data, identifying and rejecting or decontaminating epochs containing various artifacts, and classifying individual EEG patterns along an alertness-drowsiness continuum. The results of the multi-level classification system are applied in real-time to provide feedback to the user via an audio or visual alarm, or are recorded for subsequent off-line analysis.