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.

Systems and methods for screening a subject for neuropathology associated with a condition. The method can include providing neurophysiological stimuli to the subject, measuring response by the subject to the neurophysiological stimuli, comparing the measured responses to a reference, determining whether the subject demonstrates abnormal or changed responses to the neurophysiological stimuli according to whether the measured responses differ from the individual's baseline or from the reference by one or more thresholds, and providing an alert according to whether the subject has abnormal or changed responses to the neurophysiological stimuli, wherein the alert comprises an intervention associated with the condition.

The invention refers to a system for delivering a machine-learning based behavioral intervention for the care of withdraw symptoms such as Neonatal Abstinence Syndrome in neonates. The system obtains biosensor or behavioral information about a patient from a wearable device on the patient and makes a determinative recommendation or takes appropriate action based on its evaluation. The biosensor and behavioral information is collected by way of a wearable device over progressive periods of time. When the data is indicative of a need for treatment because the patient is exhibiting symptoms or indicating relapse traits, this information is sent to the system for evaluation. When the data is indicative of a need for treatment, action is taken in the form of a recommendation or when the device is configured to support direct treatment, direct action can be taken to modify alleviate the patient.

Disclosed are medical devices for sensing bioelectrical potential including an electroencephalography (EEG) headset, electrodes compatible therewith, and methods of operation thereof. The headset can comprise a left junction and a right junction, a plurality of length-adjustable bands connecting the left junction and the right junction, and a number of electrodes. Each of the electrodes can comprise an electrode body coupled to one of the plurality of length-adjustable bands and a detachable electrode tip configured to be detachably coupled to the electrode body. The electrode tip can comprise an electrode tip body, one or more deflectable electrode legs coupled to the electrode tip body, and a conductive cushioning material coupled to a segment of at least one of the one or more electrode legs. The conductive cushioning material can retain or be saturated with one or more conductors.

A device is provided for stimulating neurons that includes a non-invasive stimulation unit that generates stimuli in multiple stimulation channels. The stimulation unit generates the stimuli to stimulate a neuron population in the brain and/or spinal cord of a patient using the stimulation channels in different locations. Moreover, the device includes a control unit that controls the stimulation unit to repeatedly generates sequences of the stimuli with the order of the stimulation channels in which stimuli are generated within a sequence being constant for 20 or more successively generated sequences before it is varied.

Systems, methods, and devices for automatic generation of a stimulation therapy that mimics electrographic activity in the brain at natural seizure termination define a stimulation therapy to be generated by an implanted component of a medical device system and delivered to a subject through identifying data characterizing a patient's seizures, especially at termination. A machine learning model identifies the seizures or seizure types from which to establish a canonical seizure or seizure type, and an algorithm translates the canonical seizure or seizure type into data that can be used to characterize a stimulation therapy. The systems, methods, and devices, include those configured to deliver the stimulation therapy that emulates the canonical seizure or seizure type when the seizure is detected, with the aim of terminating the seizure sooner than it would terminate without intervention.

An electrode module is positioned inside an intracranial portion of a human head. Then, it captures brain images of the human head so multiples two dimensional (2D) cross-sectional images are obtained. The electrodes can be seen in one or more 2D cross-sectional images. A brain functional map adjusting portion is provided to obtain the 2D cross-sectional images and then to conduct a proportional deformation process for the images in the brain functional map database. By combining the processed images in the brain functional map database and the 2D cross-sectional images, multiple combined cross-sectional images can be obtained for display. So, the effects of intracranial electrodes are better than the traditional way. In addition, the brain structure information of a patient contains the precise positions of the electrodes and the corresponding brain functional areas.

An active skull replacement system including an implant having an area A, an upper surface, and a bottom surface, adapted to be implanted at least in part into a skull of a subject so to substitute a portion of the skull, the bottom surface arranged to face at least in part a cranial cavity, and having a first wireless bidirectional data communication device, a device operably connected to the bottom surface of the implant, the device adapted to at least one of stimulate a physiological response and record a physiological parameter of the subject, and an external reader adapted to be placed on the scalp of the subject and including a second wireless bidirectional data communication device configured to communicate with the first wireless bidirectional data communication device of the implant to operate the device, wherein the external reader and the implant are fixed and aligned among each other through a magnetic device.

Methods and apparatuses are described for qualifying peaks included among a collected EMG signal and include methods where various test groupings of peaks may be constructed from among a group of peaks. Methods and apparatuses herein may facilitate identification of patterns of abnormal motor manifestation, initiation of alarms if those patterns are identified, and the organization of data for inclusion in a searchable medical database.

Method and devices are provided for treating subjects with Transcranial Magnetic Stimulation (TMS). According to some approaches, the methods and devices are configured for the treatment of ongoing seizures. Other approaches relate to the use of TMS as an antiepileptogenic or for use in determining preferential placement of intracranial probes.