A weighted lap pad comprising a base having a body-conforming configuration adapted to be placed across a lap of a seated user, the base having a plurality of channels having weights permanently enclosed within respective channels, the weights having a cumulative weight of greater than 2 pounds and a transparent window positioned at a surface of the base and in part defining a device pocket configured to receive a paper device or electronic touch screen device. The transparent window and associated pocket allowing a user to experience visual and multi-media sensation while simultaneously receiving tactile sensation of the weighted pad. The electronic device also allows for a variety of user control and sensory feedback options.

Disclosed is a system for evaluating brain trauma via regional changes in tissue impedance. The present disclosure describes a system for non-invasive intracranial monitoring, comprising two or more affecting electrodes arranged between a conductive location of a cranium of a patient and a location on a scalp of the patient, two or more effected electrodes arranged between the conductive location of the cranium of the patient and the location on the scalp of the patient, and processing circuitry configured to apply an electrical stimulus between the two or more affecting electrodes, measure an electrical stimulus differential between the two or more effected electrodes, calculate, for the two or more effected electrodes, a value of an impedance metric, and identify, based on the calculated value of the impedance metric, a health condition of the patient.

The method for estimating mental health and providing solution for mental health by learning psychological data and biological data based on machine learning includes: (a) acquiring, by mental health estimating device, psychological data for testing and biological data for testing of test subject from terminal of the test subject in state in which first estimated model is learned by referring to estimated mental health data for learning output from the first estimated model and ground truth mental health data corresponding to the estimated mental health data after psychological data for learning and biological data for learning of learning subjects are input to the first estimated model; and (b) inputting, by the mental health estimating device, the psychological data for testing and the biological data for testing to the first estimated model to allow the first estimated model to output estimated mental health data for testing.

A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.

A traumatic brain injury (“TBI”) guideline system employing a patient monitoring sensor (30) and a patient monitoring device (10). In operation, the patient monitoring sensor (30) generates data for monitoring a TBI parameter of a patient (e.g., systolic blood pressure, blood oxygen saturation or carbon dioxide expiration of the patient), and the patient monitoring device (10) generates a TBI indicator derived from a comparison of the TBI parameter data to parameter guideline data associated with a potential TBI of the patient. The patient monitoring device (10) may include a patient data monitor module (17a) to monitor the TBI parameter data, and a TBI monitor module (17b) to generate the TBI indicator. The TBI indicator is informative of a TBI status of the patient (e.g., a hypotension status, a hypoxia status or a ventilation status of the patient), and/or a TBI treatment for the patient (e.g., a ventilation treatment for the patient).

Methods and systems for controlling aneurysm initiation or formation in an individual are presented; the technique comprises receiving morphological data of an artery being indicative of at least first and second geometrical parameters of the artery along its trajectory; analyzing the data to identify at least one flow-diverting location along the artery satisfying first and second predetermined conditions of the geometrical parameters; classifying the individual as having or not having disposition for future formation of an aneurysm, depending respectively on whether the at least one flow-diverting location is identified or not and generating classification data; and generating prediction data for the individual with regard to future aneurysm formation.

Systems and methods for determining a distribution map of susceptibility property of an object are provided. The method may include one or more of the following operations. A phase diagram corresponding to a magnetic resonance (MR) signal of the object may be obtained. A preliminary field map may be determined based on the phase diagram. Preliminary error limiting information associated with the preliminary field map may be obtained. A preliminary distribution map of susceptibility property of the object may be determined based on the preliminary field map and the preliminary error limiting information. An iteration process including at least one iteration may be performed to determine a target distribution map of susceptibility property of the object.

In vivo methods for non-invasively imaging (or measuring without spatial localization) of neuro-electro-magnetic oscillations are achieved by a pulse sequence of radio frequency (RF) irradiation and magnetic field gradients. These RF and gradient pulses create an intermolecular zero-quantum coherence (iZQC), the frequency of which is: 1) controlled by one or more magnetic field gradients; and 2) made to match the frequency of the targeted neuro-electro-magnetic oscillation.

A medical device for monitoring biological parameters through an Abreu Brain Thermal Tunnel (ABTT) is provided. By monitoring and analyzing the temperature of the ABTT, it is possible to diagnosis changes in a patient or subject under a variety of conditions, including predicting the course of medical conditions. Furthermore, since the ABTT is predictive, analysis of the ABTT may be used to control mechanisms for safety when an impending medical condition makes such operation hazardous.

A deep intracranial electrode which comprises a flexible wire, an electrode contact, a connector and a shield sleeve, one end of the flexible wire is connected to the electrode contact, the other end connected to the connector; the shield sleeve sheathes around the flexible wire, a sum of a length of a part of the flexible wire arranged outside the shield sleeve and a length of the shield sleeve being adjustable. When the shield sleeve sheaths around the flexible wire, the length of the flexible wire inside the radio-frequency magnetic field of the magnetic resonance equipment may equal to a sum of the length of the shield sleeve and a length of the flexible wire outside the shield sleeve.