One embodiment provides a method, including: obtaining EEG data from one or more single channel EEG sensor worn by a user; classifying, using a processor, the EEG data as one of nominal and abnormal; and providing an indication associated with a classification of the EEG data. Other embodiments are described and claimed.

A clinical response estimate (CRE) biomarker of a patient having an implanted neurostimulation system is monitored. To this end, an input dataset is derived from a subject-patient dataset that includes various different data types and different features of the patient. The data types are based on electrical activity the patient's brain sensed and stored by the implanted neurostimulation system. The input dataset is a subset of the larger subject-patient dataset, and the specific data types and patient features included in that subset are derived based on a plurality of key inputs of the subject-patient dataset. Once the input dataset is derived, it is processed by a clinical response estimator having machine-learned models. First and second machine-learned models of the clinical response estimator are applied to the input dataset to provide model inputs to an ensemble machine-learned model to determine the CRE biomarker.

A method of determining a responsiveness of a patient having brain state changes, comprising receiving an indication of a triggering event; administering to the patient, in response to the indication, a test of responsiveness; determining, based upon a result of the test, at least one responsiveness parameter selected from the group consisting of (i) a time of occurrence of a change in the patient's responsiveness, (ii) a duration of a change in the patient's responsiveness; (iii) a magnitude of a change in the patient's responsiveness, (iv) a time interval from the indication of event occurrence to a change in the patient's responsiveness, (v) a type of change in the patient's responsiveness, (vi) an estimation of a seizure severity; (vii) a classification of a seizure into clinical or subclinical; (viii) a classification of a clinical seizure into simple partial, complex partial, or generalized; (ix) an assessment of efficacy of a therapy for the patient's medical condition; (x) an assessment of the state of the disease and formulation of a prognosis for the patient; (xi) an estimation of a risk of injury or death for the patient; and (xii) two or more thereof. A medical device system capable of implementing the method.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, a computer-implemented method for generating or updating usage-based insurance policies for autonomous or semi-autonomous vehicles may be provided. A request to generate an insurance quote may be received via wireless communication, and with the customer's permission, risk levels associated with intended usage by the customer of an autonomous or semi-autonomous vehicle may be determined. An insurance policy may be adjusted based upon the risk levels and the intended vehicle usage. The insurance policy may then be presented on the customer's mobile device for review and approval. In some aspects, the vehicle may be rented, and the intended vehicle usage is measured in distance or duration of vehicle operation. Insurance discounts may be provided to risk averse vehicle owners based upon low risk levels.

An apparatus for minimally-invasive, including non-invasive, prevention and/or treatment of hydrocephalus and method for use of the same are disclosed. In one embodiment of the apparatus, a housing is sized for superjacent contact with a skull having a fontanel. Within the housing, a compartment includes a pressure applicator, such as a fluid-filled bladder, under the control of a pressure regulator. The pressure applicator is configured to selectively apply an external pressure to the fontanel. The compartment includes a pressure sensor configured to measure intracranial pulse pressure of the fontanel. Further, in one embodiment, the apparatus can cause pulse pressure modulation by adjusting the intracranial pulse pressure via the pressure applicator. This enables a non-invasive measurement of the pulse pressure and modulation thereof in infants, for example.

A method of assisting a user wearing a head mountable display (HMD) when determining that the user may be in a pathological state includes: detecting, by one or more sensors, one or more parameters indicating one or more current properties of the user, generating information indicating the one or more current properties of the user based on the one or more parameters, determining whether the user may be in a pathological state or a non-pathological state based on the information indicating one or more of the current properties of the user, and performing a process under instruction of a processor in response to determining that the user may be in a pathological state, the process comprising one or more operations that the user can voluntarily instruct when the user is in a non-pathological state.

A method and system for utilizing empirical null hypothesis for a biological time series is disclosed herein. The method also includes calculating an amount that a second plurality of epochs is similar to a first plurality of epochs using large-scale testing to estimate an empirical null hypothesis for a subset of the epochs. The method also includes determining if the second plurality of epochs is from the same EEG recording.

A method for determining and responding in real-time to an increased risk of death relating to a patient with epilepsy is provided. The method includes receiving cardiac data and determining a cardiac index based upon the cardiac data. The method includes determining an increased risk of death associated with epilepsy if the indices are extreme, issuing a warning of the increased risk of death and logging information related to the increased risk of death. Also presented is a second method for determining and responding in real-time to an increased risk of death relating to a patient with epilepsy comprising receiving at least one of arousal data, responsiveness data or awareness data and determining an arousal index, a responsiveness index or an awareness index, where the indices are based on arousal data, responsiveness data or awareness data respectively. The second method includes determining an increased risk of death related to epilepsy if indices are extreme values, issuing a warning of the increased risk of death and logging information related to the increased risk of death. A computer readable program storage device is also provided. Also provided is a method for receiving body data, determining a cardiac, an arousal, a responsiveness, or a kinetic index, determining an increased or increasing risk of death over a first time window relating to a patient with epilepsy and issuing a warning and logging relevant information.

Methods for detecting neurological and clinical manifestations of a seizure are provided. Systems are described including a monitoring device having a communication assembly for receiving neurological data transmitted external to a patient from a transmitter implanted in a patient; a processor that processes the neurological data to estimate the patient's brain state; and an assembly for automatically recording clinical manifestation data in response to a brain state estimate by the processor.

Multiscale brain electrodes can be used for spatiotemporal mapping, probing, and therapeutic modulation of the human brain. The applications for such functional mapping and electrical stimulation modulation span, for example, neurological and psychiatric diseases, and brain rehabilitation.