A method of operating an optically pumped magnetometer (OPM) includes directing a light beam through a vapor cell of the OPM including a vapor of atoms; applying RF excitation to cause spins of the atoms to precess; measuring a frequency of the precession; for each of a plurality of different axes relative to the vapor cell, directing a light beam through the vapor cell, applying a magnetic field through the vapor cell along the axis, applying RF excitation to cause spins of the atoms to precess, and measuring a frequency of the precession in the applied magnetic field; determining magnitude and components of an ambient background magnetic field along the axes using the measured frequencies; and applying a magnetic field based on the components around the vapor cell to counteract the ambient background magnetic field to facilitate operation of the OPM in a spin exchange relaxation free (SERF) mode.

An information processing apparatus includes a processor configured to receive biological information of a user, and output, to a device which implements means for coping with a state of the user recognized from the biological information, an operation instruction for implementing the means.

A magnetic field measurement system includes a body; sensors units that each include at least one magnetic field sensor disposed on or in the body; magnetic field generators, each of the magnetic field generators associated with a different one of the sensor units to provide active shielding when the magnetic field generator is activated; and a processor coupled to the magnetic field sensors and the magnetic field generators and configured to perform actions including: 1) selecting at least one of the sensor units, wherein, when multiple sensor units are selected, the selected sensor units are spatially separated from each other; 2) for each of the at least one selected sensor unit, activating the magnetic field generator associated with that selected sensor unit to provide active shielding; 3) receiving signals from the at least one selected sensor unit; and 4) repeating 1) through 3) at least once.

A method and apparatus for performing a biosignal analysis task using a set of models includes receiving an input biosignal. Information that identifies the biosignal analysis task to be performed in association with the input biosignal is received. A waveform model and a digital signal processing (DSP) model are selected. A first type of feature and a second type of feature of the input biosignal are identified. An analysis model is selected, and the biosignal analysis task is performed using the analysis model.

According to one embodiment, a magnetic sensor includes a first element. The first element includes a first magnetic part, a first magnetic layer, a first nonmagnetic portion, and a first intermediate magnetic layer. The first magnetic part includes first to third portions. The first portion is between the second and third portions. The first portion has a first length and a second length. The second portion has at least one of a third length longer than the first length or a fourth length longer than the second length. The third portion has at least one of a fifth length longer than the first length or a sixth length longer than the second length. The first nonmagnetic portion is provided between the first portion and the first magnetic layer. The first intermediate magnetic layer is provided between the first portion and the first nonmagnetic portion.

A system and method for controlling a non-tactile device including a receiving device configured to receive signals corresponding to a user's brain waves or movements, the brain waves or movements corresponding to a series of directional intentions, the intentions defining at least one line pattern, a processor configured to process the at least one line pattern, each of said at least one line patterns associated with an action of the device, and output a control signal to the non-tactile device related to the action.

Systems and methods for quantitative susceptibility mapping (QSM) using magnetic resonance imaging (MRI) are described. Localized magnetic field information is used when performing the inversion to compute quantitative susceptibility maps. The localized magnetic field information can include multi-resolution subvolumes obtained by segmenting, or dividing, a field shift map. In some instances, a trained machine learning algorithm, such as a trained neural network, can be implemented to convert the localized magnetic field information into quantitative susceptibility data. These local susceptibility maps can be combined to form a composite quantitative susceptibility map of the imaging volume.

An array of optically pumped magnetometers includes an array of vapor cells; and an array of beam splitters. The array of beam splitters is arranged into columns, including a first column, and rows. Each row and each column includes at least two of the beam splitters. The array of beam splitters is configured to receive light into the first column of the array and to distribute that light from the first column into each of the rows and to distribute the light from each of the rows into a plurality of individual light beams directed toward the vapor cells.

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.

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.