A surface model is generated from a three-dimensional volume model of a person's head. The person's head is modelled as a three-dimensional volume model of loss values (i.e., absorption values). Wave vectors are launched towards the volume model. Each wave vector is characterized by a wavelength and a capture direction (direction of propagation). The launched wave vectors are absorbed by the volume and the point at which they are absorbed (referred to as the intersection point) is determined. The surface model of the person's head is generated from the intersection points of the wave vectors.

A surface model is generated from a three-dimensional volume model of a person's head. The person's head is modelled as a three-dimensional volume model of loss values (i.e., absorption values). Wave vectors are launched towards the volume model. Each wave vector is characterized by a wavelength and a capture direction (direction of propagation). The launched wave vectors are absorbed by the volume and the point at which they are absorbed (referred to as the intersection point) is determined. The surface model of the person's head is generated from the intersection points of the wave vectors.

A measurement apparatus is provided, which includes a magnetic sensor array formed by three-dimensionally arranging a plurality of magnetic sensor cells each including a magnetic sensor, and capable of detecting an input magnetic field in three axial directions; a measurement data acquiring section that acquires a plurality of measurement values based on the input magnetic field detected by the magnetic sensor array; a magnetic field calculating section that calculates the input magnetic field based on the measurement values; an error calculating section that calculates a detection error of the input magnetic field, based on the plurality of measurement values and a calculation result obtained by calculating the input magnetic field; and a measurement data selecting section that selects a plurality of measurement values to be used for calculating the input magnetic field by the magnetic field calculating section, from among the plurality of measurement values, based on the detection error.

A system for measuring physiological parameters includes a housing mounted to an exterior body surface of a user. The system includes at least a sensor attached to the housing and contacting the exterior body surface at a locus on a head of the user, the at least a sensor configured to detect at least a physiological parameter and transmit an electrical signal as a result of the detection. The system includes an alert circuit communicatively coupled to the at least sensor, the alert circuit configured to receive at least a signal from the at least a sensor, generate an alarm as a function of the at least a signal, and to transmit the alarm to a user-signaling device communicatively coupled to the alert circuit.

A system and method for diagnosing mental or emotional disorders is disclosed. An affective BCI component is incorporated into a closed loop, symptomresponsive psychiatric DBS system. A series of input data related to a brain of the patient is acquired while the patient performs a battery of behavioral tasks. From the patient's performance on the task battery, the system identifies what is abnormal for that individual patient in terms of functional domains. Patient-specific behavioral measurements are then linked to patterns of activation and de-activation across different brain regions, identifying specific structures that are the source of the patient's individual impairment.

An estimating method according to an embodiment is an estimating method for estimating a region of nerve activity, the estimation method including estimating which nerve bundle has conducted an electric current in a subject, based on information representing a three-dimensional structure of nerve bundles and information representing a distribution of a magnetic field near a surface of the subject.

A device for detecting spatial differences in fluid level changes in a tissue of a patient may include a support structure for securing the device to a body part of the patient, a processing element operably connected to the support structure, a wireless networking interface operably connected to the support structure and in communication with the processing element and an external computing device via a network, a first transmission module operably connected to the support structure and in communication with the processing element, a second transmission module and a third transmission module operably connected to the support structure and in communication with the processing element. When activated, the first transmission module transmits a first time varying magnetic field through the tissue of the patient. The second and third transmission modules, which are spatially separated from one another, receive first and second versions, respectively, of the first time varying magnetic field.

One embodiment is a magnetic field measurement system that includes at least one magnetometer having a vapor cell, a light source to direct light through the vapor cell, and a detector to receive light directed through the vapor cell; at least one magnetic field generator disposed adjacent the vapor cell; and a feedback circuit coupled to the at least one magnetic field generator and the detector of the at least one magnetometer. The feedback circuit includes at least one feedback loop that includes a first low pass filter with a first cutoff frequency. The feedback circuit is configured to compensate for magnetic field variations having a frequency lower than the first cutoff frequency. The first low pass filter rejects magnetic field variations having a frequency higher than the first cutoff frequency and provides the rejected magnetic field variations for measurement as an output of the feedback circuit.

A driver support system of a vehicle that includes a neuroimaging sensor and a positioning sensor, the neuroimaging sensor detects neurological signals of an occupant and the positioning sensor detects a position of the occupant. The neuroimaging sensor is configured to be positioned within the vehicle distally from the occupant. The system further includes a processor and non-transitory computer-readable medium storing computer-readable instructions executed by the processor to generate a brainwave map based on the neurological signals, calibrate the brainwave map based on the position of the occupant, and determine a mental state of the occupant based on the calibrated-brainwave map. The processor further actuates vehicle support control in response to determining the mental state of the occupant.

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.