Technologies and techniques for controlling modalities for vehicle navigation. A navigation system may be configured to transmit navigation data and communicate the navigation data in a vehicle using a plurality of modalities. One or more sensors provide data associated with at least one of (i) sensor data associated with a vehicle interior environment, (ii) sensor data associated with a physiological state of a driver, and/or (iii) driving condition data. A processor, may be configured to process at least one of the sensor data, driving condition data and/or navigation data to determine one or more modality values, wherein the processor is configured to activate and/or deactivate at least one of the plurality of modalities based on the one or more modality values.

A surface electrode for patient monitoring includes a flexible substrate, a dry electrode on the substrate, and a wet electrode configured to contact an electrode gel in contact with a patient's skin. A conductive epoxy is arranged between the dry electrode and the wet electrode. The conductive epoxy is configured to protect the dry electrode from corrosion and transfer electrical potentials from the wet electrode to the printed dry electrode.

A computer implemented method includes accessing a multivariate time series set of samples collected by multiple biological sensors sensing a first biological function over a first period of time, dividing the data set into windows, calculating statistical dependencies between the samples of the timeseries data collected by each sensor, generating a relationship matrix as a function of the statistical dependencies, and transforming the relationship matrix to generate a first feature vector for each window of time that captures the statistical dependencies amongst the sensors.

There are disclosed systems and methods for seizure diagnosis by video electroencephalography (Video-EEG). There is disclosed a fully automated, portable, point-of-care diagnostic video EEG device. In an embodiment, the device includes a tracker configured for placement on a patient. The tracker has a set of sensors disposed thereon. An EEG headset is configured for detecting electrical activities of a brain of the patient. The EEG headset is configured for communicating the electrical activities of the brain of the patient. A telescoping stand provides built-in sensors. A mobile computing device is in communication with the built-in sensors and in communication with the EEG headset. A set of wheels provides controlled movement of the telescoping stand. Other embodiments are also disclosed.

Sensor arrays are provided for sensing pressure and/or moisture over a two-dimensional sensing surface. The sensor arrays comprise ionically conductive materials. Individual sensor elements s in the sensor arrays may comprise piezoionic ionically conductive materials, piezoresistive ionically conductive materials and/or capacitive sensor elements having electrodes fabricated from ionically conductive materials. Two-dimensional pressure maps and/or moisture maps of the sensing surface may be obtained by implementing methods comprising scanning over individual sensor elements in the sensor arrays.

A force-controlled electroencephalogram (EEG) monitoring device maintains a constant pressure between electrodes and the scalp of a user thereby increasing user comfort. Arms on the EEG monitoring device position the electrodes in contact with specific regions on the head of the user. The dimension, shape, and curvature of the arms affect the amount of force with which an electrode is held in contact with the user's scalp. The amount of pressure may be different for different regions of the user's head to achieve a balance between comfort and conductivity. The amount of pressure may be further modulated by the use of spring-loaded electrode holders that allow an electrode to move relative to the holder. To further improve user comfort, the tips of the electrodes may be hemispherical rather than pointed. The EEG monitoring device can be used as input for a brain-computer interface (BCI).

A force-controlled electroencephalogram (EEG) monitoring device maintains a constant pressure between electrodes and the scalp of a user thereby increasing user comfort. Arms on the EEG monitoring device position the electrodes in contact with specific regions on the head of the user. The dimension, shape, and curvature of the arms affect the amount of force with which an electrode is held in contact with the user's scalp. The amount of pressure may be different for different regions of the user's head to achieve a balance between comfort and conductivity. The amount of pressure may be further modulated by the use of spring-loaded electrode holders that allow an electrode to move relative to the holder. To further improve user comfort, the tips of the electrodes may be hemispherical rather than pointed. The EEG monitoring device can be used as input for a brain-computer interface (BCI).

Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

Approaches to determining a sleep fitness score for a user are provided, such as may be based upon monitored breathing disturbances of a user. The system receives user state data generated over a time period by a combination of sensors provided via a wearable tracker associated with the user. A system can use this information to calculate a sleep fitness score, breathing disturbance score, or other such value. The system can classify every minute within the time period as either normal or atypical, for example, and may provide such information for presentation to the user.

Provided are systems, methods, and devices for providing mediation of a traumatic brain injury. Systems may include an interface, processing devices, and a controller. The interface is configured to obtain measurements from a brain of a user with a traumatic brain injury. A first processing device is configured to generate multiple brain state parameters characterizing one or more features of a brain state of the user. A second processing device is configured to generate models of the brain of the user based on the plurality of brain state parameters and the plurality of measurements, and determine, using the models and training data comprising one or more mediation data points, a mediation procedure for reducing one or more symptoms of the traumatic brain injury. The mediation procedure is provided to one or more entities, and one or more control signals are generated by the controller based on the mediation procedure.