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.

A method of constructing a value representative of a local epileptogenic network index (LENI). The method is implemented by an electronic device that includes a processor and a memory. The method includes: obtaining, in the form of connectivity matrices, dynamic functional networks, which are representative of electrical signals measured for a predetermined number of points of interest, called nodes, within a cerebral cortex during a given time period; grouping the nodes, as a function of topological properties of said networks, within groups of nodes called modules; and calculating the local epileptogenic network index (LEND as a function of local functional connectivity characteristics of said nodes, modules and networks.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, with the customer's permission, a vehicle operator in an autonomous or semi-autonomous vehicle may be determined by a sensor disposed within the autonomous or semi-autonomous vehicle or a mobile computing device associated with the vehicle operator. A determination may be made as to whether the vehicle operator is authorized to operate the vehicle based upon the determined identity of the vehicle operator; and if the vehicle operator is not authorized, an alert may be generated and/or the vehicle may be caused to not operate. Alternatively, autonomous operation features may be automatically engaged to automatically drive the autonomous or semi-autonomous vehicle to a safe location when the operator is not authorized. Insurance discounts may be provided based upon the anti-theft functionality.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for real-time determination of the status of autonomous operation features of an autonomous or semi-autonomous vehicle may be provided. With the customer's permission, the operation of the autonomous or semi-autonomous vehicle may be monitored to obtain operating data from one or more autonomous operation features. An operating status of the autonomous features may be determined based upon the operating data. After which, a change in the operating status of the autonomous features may be identified, and a report containing information regarding the change in the operating status of the autonomous features may be generated. Insurance discounts may be provided to risk averse customers that maintain their autonomous vehicles, and associated accident avoidance functionality, in good working condition.

The present invention is directed to a wearable system wherein elements of the system, including various sensors adapted to detect biometric and other data and/or to deliver drugs, are positioned proximal to, on the ear or in the ear canal of a person. In embodiments of the invention, elements of the system are positioned on the ear or in the ear canal for extended periods of time. For example, an element of the system may be positioned on the tympanic membrane of a user and left there overnight, for multiple days, months, or years. Because of the position and longevity of the system elements in the ear canal, the present invention has many advantages over prior wearable biometric and drug delivery devices.

Disclosed are systems and methods for reducing artifacts in neural activity readings. Electrical readings may be acquired using EEG electrodes secured to a subject. A high-pass or band-pass filter may be applied to the electrical readings to favor frequencies more associated with neurogenic potentials as opposed to myogenic potentials. Independent component analysis (ICA) may be applied to the filtered electrical readings. Selected components in each iteration may be pruned to produce reduced-artifact electrical readings, and the reduced-artifact electrical readings may be presented for further review and analysis.

Provided is a method for mapping a neural area involved in speech processing, including applying a plurality of recording electrodes to a surface of a cortex of a human subject, presenting a plurality of auditory stimuli to the subject wherein some of the plurality of stimuli are speech sounds and others of the plurality of auditory stimuli are non-speech sounds, recording brain activity during the presenting of the plurality of auditory stimuli, and identifying one or more brain areas wherein activity changes more after presentation of speech sounds than it does after presentation of non-speech sounds, wherein the human subject does not speak during the presenting and the recording. Also provided is a method for mapping a neural area involved in speech production wherein the human subject does not speak during presenting speech stimuli and recording neural activity.

Systems and methods are disclosed related to using acoustic waves to detect neural activity in a brain and/or localize the neural activity in the brain. Sensors positioned outside of a skull encasing the brain can detect acoustic waves associated with the neural activity in the brain. From output signals of the sensors, a particular type of neural activity (e.g., a seizure) can be detected. A location of the neural activity can be determined based on outputs of the sensors. In some embodiments, the ultrasound energy can be applied to the location of the neural activity in response to detecting the neural activity.

A system and a method for processing multiple signals generated by sensors processing to identify and/or monitor physiological data of an individual (for example in healthcare system) or general statement of an environment, a predetermined space (for example a room, a machine, a building) or an object (for example in smart home system, environment monitoring system, fire prevention system or the like).